New dataset
Browse files- Img_Vars.py +100 -0
- images.tar.gz +3 -0
- vars_dataset.csv +199 -0
- vars_dataset_test.csv +8 -0
- vars_dataset_train.csv +192 -0
Img_Vars.py
ADDED
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# coding=utf-8
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# Copyright 2020 The TensorFlow Datasets Authors and the HuggingFace Datasets Authors.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# Lint as: python3
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"""Image Description Dataset."""
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import json
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import datasets
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from datasets.tasks import QuestionAnsweringExtractive
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import pandas as pd
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logger = datasets.logging.get_logger(__name__)
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_CITATION = """\
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@article{2016arXiv160605250R,
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author = {{Rajpurkar}, Pranav and {Zhang}, Jian and {Lopyrev},
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Konstantin and {Liang}, Percy},
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title = "{SQuAD: 100,000+ Questions for Machine Comprehension of Text}",
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journal = {arXiv e-prints},
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year = 2016,
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eid = {arXiv:1606.05250},
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pages = {arXiv:1606.05250},
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archivePrefix = {arXiv},
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eprint = {1606.05250},
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}
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"""
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_DESCRIPTION = """\
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Image descriptions for data science charts
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"""
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_URL = "https://huggingface.co/datasets/eduvedras/Img_Vars/resolve/main/images.tar.gz"
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class Img_VarsTargz(datasets.GeneratorBasedBuilder):
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def _info(self):
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return datasets.DatasetInfo(
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description=_DESCRIPTION,
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features=datasets.Features(
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{
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"Chart": datasets.Image(),
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"Description": datasets.Value("string"),
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"Chart_name": datasets.Value("string"),
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}
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),
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# No default supervised_keys (as we have to pass both question
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# and context as input).
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supervised_keys=None,
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homepage="https://huggingface.co/datasets/eduvedras/Img_Vars",
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citation=_CITATION,
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task_templates=[
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QuestionAnsweringExtractive(
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question_column="question", context_column="context", answers_column="answers"
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)
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],
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)
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def _split_generators(self, dl_manager):
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path = dl_manager.download(_URL)
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image_iters = dl_manager.iter_archive(path)
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metadata_train_path = "https://huggingface.co/datasets/eduvedras/Img_Vars/resolve/main/vars_dataset_train.csv"
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metadata_test_path = "https://huggingface.co/datasets/eduvedras/Img_Vars/resolve/main/vars_dataset_test.csv"
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return [
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datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"images": image_iters,
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"metadata_path": metadata_train_path}),
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datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"images": image_iters,
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"metadata_path": metadata_test_path}),
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]
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def _generate_examples(self, images, metadata_path):
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metadata = pd.read_csv(metadata_path, sep=';')
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idx = 0
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for index, row in metadata.iterrows():
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for filepath, image in images:
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filepath = filepath.split('/')[-1]
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if row['Chart'] in filepath:
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yield idx, {
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"Chart": {"path": filepath, "bytes": image.read()},
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"Description": row['description'],
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"Chart_name": row['Chart'],
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}
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break
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idx += 1
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images.tar.gz
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version https://git-lfs.github.com/spec/v1
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oid sha256:a84cd68f48a166705379739f552ddd700c2bdab16c77ad12afd1a900da78dd8a
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size 17305159
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vars_dataset.csv
ADDED
@@ -0,0 +1,199 @@
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Chart;description
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ObesityDataSet_decision_tree.png;FAF, Height
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ObesityDataSet_correlation_heatmap.png;Age, Height, Weight, FCVC, NCP, CH2O, FAF, TUE
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ObesityDataSet_boxplots.png;Age, Height, Weight, FCVC, NCP, CH2O, FAF, TUE
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ObesityDataSet_histograms_symbolic.png;CAEC, CALC, MTRANS, Gender, family_history_with_overweight, FAVC, SMOKE, SCC
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ObesityDataSet_class_histogram.png;NObeyesdad
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ObesityDataSet_histograms_numeric.png;Age, Height, Weight, FCVC, NCP, CH2O, FAF, TUE
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customer_segmentation_decision_tree.png;Family_Size, Work_Experience
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customer_segmentation_correlation_heatmap.png;Age, Work_Experience, Family_Size
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customer_segmentation_boxplots.png;Age, Work_Experience, Family_Size
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customer_segmentation_histograms_symbolic.png;Profession, Spending_Score, Var_1, Gender, Ever_Married, Graduated
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customer_segmentation_mv.png;Ever_Married, Graduated, Profession, Work_Experience, Family_Size, Var_1
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customer_segmentation_class_histogram.png;Segmentation
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customer_segmentation_histograms_numeric.png;Age, Work_Experience, Family_Size
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urinalysis_tests_decision_tree.png;Age, pH
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urinalysis_tests_correlation_heatmap.png;Age, pH, Specific Gravity
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urinalysis_tests_boxplots.png;Age, pH, Specific Gravity
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urinalysis_tests_histograms_symbolic.png;Color, Transparency, Glucose, Protein, Epithelial Cells, Mucous Threads, Amorphous Urates, Bacteria, Gender
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urinalysis_tests_mv.png;Color
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urinalysis_tests_class_histogram.png;Diagnosis
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urinalysis_tests_histograms_numeric.png;Age, pH, Specific Gravity
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detect_dataset_decision_tree.png;Ic, Vb
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detect_dataset_correlation_heatmap.png;Ia, Ib, Ic, Va, Vb, Vc
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detect_dataset_boxplots.png;Ia, Ib, Ic, Va, Vb, Vc
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detect_dataset_class_histogram.png;Output
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detect_dataset_histograms_numeric.png;Ia, Ib, Ic, Va, Vb, Vc
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diabetes_decision_tree.png;BMI, Age
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diabetes_correlation_heatmap.png;Pregnancies, Glucose, BloodPressure, SkinThickness, Insulin, BMI, DiabetesPedigreeFunction, Age
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diabetes_boxplots.png;Pregnancies, Glucose, BloodPressure, SkinThickness, Insulin, BMI, DiabetesPedigreeFunction, Age
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diabetes_class_histogram.png;Outcome
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diabetes_histograms_numeric.png;Pregnancies, Glucose, BloodPressure, SkinThickness, Insulin, BMI, DiabetesPedigreeFunction, Age
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Placement_decision_tree.png;ssc_p, hsc_p
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Placement_correlation_heatmap.png;ssc_p, hsc_p, degree_p, etest_p, mba_p
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Placement_boxplots.png;ssc_p, hsc_p, degree_p, etest_p, mba_p
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Placement_histograms_symbolic.png;hsc_s, degree_t, gender, ssc_b, hsc_b, workex, specialisation
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Placement_class_histogram.png;status
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Placement_histograms_numeric.png;ssc_p, hsc_p, degree_p, etest_p, mba_p
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Liver_Patient_decision_tree.png;Alkphos, Sgot
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Liver_Patient_correlation_heatmap.png;Age, TB, DB, Alkphos, Sgpt, Sgot, TP, ALB, AG_Ratio
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Liver_Patient_boxplots.png;Age, TB, DB, Alkphos, Sgpt, Sgot, TP, ALB, AG_Ratio
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Liver_Patient_histograms_symbolic.png;Gender
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Liver_Patient_mv.png;AG_Ratio
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Liver_Patient_class_histogram.png;Selector
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Liver_Patient_histograms_numeric.png;Age, TB, DB, Alkphos, Sgpt, Sgot, TP, ALB, AG_Ratio
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Hotel_Reservations_decision_tree.png;lead_time, no_of_special_requests
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Hotel_Reservations_correlation_heatmap.png;no_of_adults, no_of_children, no_of_weekend_nights, no_of_week_nights, lead_time, arrival_month, arrival_date, avg_price_per_room, no_of_special_requests
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Hotel_Reservations_boxplots.png;no_of_adults, no_of_children, no_of_weekend_nights, no_of_week_nights, lead_time, arrival_month, arrival_date, avg_price_per_room, no_of_special_requests
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Hotel_Reservations_histograms_symbolic.png;type_of_meal_plan, room_type_reserved, required_car_parking_space, arrival_year, repeated_guest
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Hotel_Reservations_class_histogram.png;booking_status
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Hotel_Reservations_histograms_numeric.png;no_of_adults, no_of_children, no_of_weekend_nights, no_of_week_nights, lead_time, arrival_month, arrival_date, avg_price_per_room, no_of_special_requests
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StressLevelDataset_decision_tree.png;basic_needs, bullying
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StressLevelDataset_correlation_heatmap.png;anxiety_level, self_esteem, depression, headache, sleep_quality, breathing_problem, living_conditions, basic_needs, study_load, bullying
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StressLevelDataset_boxplots.png;anxiety_level, self_esteem, depression, headache, sleep_quality, breathing_problem, living_conditions, basic_needs, study_load, bullying
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StressLevelDataset_histograms_symbolic.png;mental_health_history
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StressLevelDataset_class_histogram.png;stress_level
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StressLevelDataset_histograms_numeric.png;anxiety_level, self_esteem, depression, headache, sleep_quality, breathing_problem, living_conditions, basic_needs, study_load, bullying
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WineQT_decision_tree.png;density, chlorides
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WineQT_correlation_heatmap.png;fixed acidity, volatile acidity, citric acid, residual sugar, chlorides, free sulfur dioxide, total sulfur dioxide, density, pH, sulphates, alcohol
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WineQT_boxplots.png;fixed acidity, volatile acidity, citric acid, residual sugar, chlorides, free sulfur dioxide, total sulfur dioxide, density, pH, sulphates, alcohol
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WineQT_class_histogram.png;quality
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WineQT_histograms_numeric.png;fixed acidity, volatile acidity, citric acid, residual sugar, chlorides, free sulfur dioxide, total sulfur dioxide, density, pH, sulphates, alcohol
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loan_data_decision_tree.png;Loan_Amount_Term, ApplicantIncome
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loan_data_correlation_heatmap.png;ApplicantIncome, CoapplicantIncome, LoanAmount, Loan_Amount_Term
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loan_data_boxplots.png;ApplicantIncome, CoapplicantIncome, LoanAmount, Loan_Amount_Term
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loan_data_histograms_symbolic.png;Dependents, Property_Area, Gender, Married, Education, Self_Employed, Credit_History
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loan_data_mv.png;Gender, Dependents, Self_Employed, Loan_Amount_Term, Credit_History
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loan_data_class_histogram.png;Loan_Status
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loan_data_histograms_numeric.png;ApplicantIncome, CoapplicantIncome, LoanAmount, Loan_Amount_Term
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Dry_Bean_Dataset_decision_tree.png;Area, AspectRation
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Dry_Bean_Dataset_correlation_heatmap.png;Area, Perimeter, MinorAxisLength, AspectRation, Eccentricity, EquivDiameter, Extent, Solidity, roundness, ShapeFactor1
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Dry_Bean_Dataset_boxplots.png;Area, Perimeter, MinorAxisLength, AspectRation, Eccentricity, EquivDiameter, Extent, Solidity, roundness, ShapeFactor1
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Dry_Bean_Dataset_class_histogram.png;Class
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Dry_Bean_Dataset_histograms_numeric.png;Area, Perimeter, MinorAxisLength, AspectRation, Eccentricity, EquivDiameter, Extent, Solidity, roundness, ShapeFactor1
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credit_customers_decision_tree.png;existing_credits, residence_since
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credit_customers_correlation_heatmap.png;duration, credit_amount, installment_commitment, residence_since, age, existing_credits
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credit_customers_boxplots.png;duration, credit_amount, installment_commitment, residence_since, age, existing_credits
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credit_customers_histograms_symbolic.png;checking_status, employment, other_parties, other_payment_plans, housing, num_dependents, own_telephone, foreign_worker
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credit_customers_class_histogram.png;class
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credit_customers_histograms_numeric.png;duration, credit_amount, installment_commitment, residence_since, age, existing_credits
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weatherAUS_decision_tree.png;Rainfall, Pressure3pm
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weatherAUS_correlation_heatmap.png;Rainfall, WindSpeed9am, Pressure9am, Pressure3pm, Cloud9am, Cloud3pm, Temp3pm
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weatherAUS_boxplots.png;Rainfall, WindSpeed9am, Pressure9am, Pressure3pm, Cloud9am, Cloud3pm, Temp3pm
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weatherAUS_histograms_symbolic.png;Location, WindGustDir, WindDir9am, WindDir3pm, RainToday
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weatherAUS_mv.png;Rainfall, WindGustDir, WindDir9am, WindDir3pm, WindSpeed9am, Pressure9am, Pressure3pm, Cloud9am, Cloud3pm, Temp3pm, RainToday
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weatherAUS_class_histogram.png;RainTomorrow
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weatherAUS_histograms_numeric.png;Rainfall, WindSpeed9am, Pressure9am, Pressure3pm, Cloud9am, Cloud3pm, Temp3pm
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car_insurance_decision_tree.png;displacement, height
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car_insurance_correlation_heatmap.png;policy_tenure, age_of_car, age_of_policyholder, airbags, displacement, length, width, height, gross_weight
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car_insurance_boxplots.png;policy_tenure, age_of_car, age_of_policyholder, airbags, displacement, length, width, height, gross_weight
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90 |
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car_insurance_histograms_symbolic.png;area_cluster, segment, model, fuel_type, max_torque, max_power, steering_type, is_esc, is_adjustable_steering
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car_insurance_class_histogram.png;is_claim
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car_insurance_histograms_numeric.png;policy_tenure, age_of_car, age_of_policyholder, airbags, displacement, length, width, height, gross_weight
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93 |
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heart_decision_tree.png;slope, restecg
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94 |
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heart_correlation_heatmap.png;age, cp, trestbps, chol, restecg, thalach, oldpeak, slope, ca, thal
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95 |
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heart_boxplots.png;age, cp, trestbps, chol, restecg, thalach, oldpeak, slope, ca, thal
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96 |
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heart_histograms_symbolic.png;sex, fbs, exang
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97 |
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heart_class_histogram.png;target
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heart_histograms_numeric.png;age, cp, trestbps, chol, restecg, thalach, oldpeak, slope, ca, thal
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99 |
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Breast_Cancer_decision_tree.png;perimeter_mean, texture_worst
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100 |
+
Breast_Cancer_correlation_heatmap.png;texture_mean, perimeter_mean, texture_se, perimeter_se, area_se, smoothness_se, symmetry_se, radius_worst, texture_worst, perimeter_worst
|
101 |
+
Breast_Cancer_boxplots.png;texture_mean, perimeter_mean, texture_se, perimeter_se, area_se, smoothness_se, symmetry_se, radius_worst, texture_worst, perimeter_worst
|
102 |
+
Breast_Cancer_class_histogram.png;diagnosis
|
103 |
+
Breast_Cancer_histograms_numeric.png;texture_mean, perimeter_mean, texture_se, perimeter_se, area_se, smoothness_se, symmetry_se, radius_worst, texture_worst, perimeter_worst
|
104 |
+
e-commerce_decision_tree.png;Prior_purchases, Customer_care_calls
|
105 |
+
e-commerce_correlation_heatmap.png;Customer_care_calls, Customer_rating, Cost_of_the_Product, Prior_purchases, Discount_offered, Weight_in_gms
|
106 |
+
e-commerce_boxplots.png;Customer_care_calls, Customer_rating, Cost_of_the_Product, Prior_purchases, Discount_offered, Weight_in_gms
|
107 |
+
e-commerce_histograms_symbolic.png;Warehouse_block, Mode_of_Shipment, Product_importance, Gender
|
108 |
+
e-commerce_class_histogram.png;ReachedOnTime
|
109 |
+
e-commerce_histograms_numeric.png;Customer_care_calls, Customer_rating, Cost_of_the_Product, Prior_purchases, Discount_offered, Weight_in_gms
|
110 |
+
maintenance_decision_tree.png;Rotational speed [rpm], Torque [Nm]
|
111 |
+
maintenance_correlation_heatmap.png;Air temperature [K], Process temperature [K], Rotational speed [rpm], Torque [Nm], Tool wear [min]
|
112 |
+
maintenance_boxplots.png;Air temperature [K], Process temperature [K], Rotational speed [rpm], Torque [Nm], Tool wear [min]
|
113 |
+
maintenance_histograms_symbolic.png;Type, TWF, HDF, PWF, OSF, RNF
|
114 |
+
maintenance_class_histogram.png;Machine_failure
|
115 |
+
maintenance_histograms_numeric.png;Air temperature [K], Process temperature [K], Rotational speed [rpm], Torque [Nm], Tool wear [min]
|
116 |
+
Churn_Modelling_decision_tree.png;Age, NumOfProducts
|
117 |
+
Churn_Modelling_correlation_heatmap.png;CreditScore, Age, Tenure, Balance, NumOfProducts, EstimatedSalary
|
118 |
+
Churn_Modelling_boxplots.png;CreditScore, Age, Tenure, Balance, NumOfProducts, EstimatedSalary
|
119 |
+
Churn_Modelling_histograms_symbolic.png;Geography, Gender, HasCrCard, IsActiveMember
|
120 |
+
Churn_Modelling_class_histogram.png;Exited
|
121 |
+
Churn_Modelling_histograms_numeric.png;CreditScore, Age, Tenure, Balance, NumOfProducts, EstimatedSalary
|
122 |
+
vehicle_decision_tree.png;MAJORSKEWNESS, CIRCULARITY
|
123 |
+
vehicle_correlation_heatmap.png;COMPACTNESS, CIRCULARITY, DISTANCE CIRCULARITY, RADIUS RATIO, MAJORVARIANCE, MINORVARIANCE, GYRATIONRADIUS, MAJORSKEWNESS, MINORSKEWNESS, MINORKURTOSIS, MAJORKURTOSIS
|
124 |
+
vehicle_boxplots.png;COMPACTNESS, CIRCULARITY, DISTANCE CIRCULARITY, RADIUS RATIO, MAJORVARIANCE, MINORVARIANCE, GYRATIONRADIUS, MAJORSKEWNESS, MINORSKEWNESS, MINORKURTOSIS, MAJORKURTOSIS
|
125 |
+
vehicle_class_histogram.png;target
|
126 |
+
vehicle_histograms_numeric.png;COMPACTNESS, CIRCULARITY, DISTANCE CIRCULARITY, RADIUS RATIO, MAJORVARIANCE, MINORVARIANCE, GYRATIONRADIUS, MAJORSKEWNESS, MINORSKEWNESS, MINORKURTOSIS, MAJORKURTOSIS
|
127 |
+
adult_decision_tree.png;hours-per-week, capital-loss
|
128 |
+
adult_correlation_heatmap.png;age, fnlwgt, educational-num, capital-gain, capital-loss, hours-per-week
|
129 |
+
adult_boxplots.png;age, fnlwgt, educational-num, capital-gain, capital-loss, hours-per-week
|
130 |
+
adult_histograms_symbolic.png;workclass, education, marital-status, occupation, relationship, race, gender
|
131 |
+
adult_class_histogram.png;income
|
132 |
+
adult_histograms_numeric.png;age, fnlwgt, educational-num, capital-gain, capital-loss, hours-per-week
|
133 |
+
Covid_Data_decision_tree.png;CARDIOVASCULAR, ASHTMA
|
134 |
+
Covid_Data_correlation_heatmap.png;MEDICAL_UNIT, PNEUMONIA, AGE, PREGNANT, COPD, ASTHMA, HIPERTENSION, OTHER_DISEASE, CARDIOVASCULAR, RENAL_CHRONIC, TOBACCO, ICU
|
135 |
+
Covid_Data_boxplots.png;MEDICAL_UNIT, PNEUMONIA, AGE, PREGNANT, COPD, ASTHMA, HIPERTENSION, OTHER_DISEASE, CARDIOVASCULAR, RENAL_CHRONIC, TOBACCO, ICU
|
136 |
+
Covid_Data_histograms_symbolic.png;USMER, SEX, PATIENT_TYPE
|
137 |
+
Covid_Data_class_histogram.png;CLASSIFICATION
|
138 |
+
Covid_Data_histograms_numeric.png;MEDICAL_UNIT, PNEUMONIA, AGE, PREGNANT, COPD, ASTHMA, HIPERTENSION, OTHER_DISEASE, CARDIOVASCULAR, RENAL_CHRONIC, TOBACCO, ICU
|
139 |
+
sky_survey_decision_tree.png;dec, mjd
|
140 |
+
sky_survey_correlation_heatmap.png;ra, dec, run, camcol, field, redshift, plate, mjd
|
141 |
+
sky_survey_boxplots.png;ra, dec, run, camcol, field, redshift, plate, mjd
|
142 |
+
sky_survey_class_histogram.png;class
|
143 |
+
sky_survey_histograms_numeric.png;ra, dec, run, camcol, field, redshift, plate, mjd
|
144 |
+
Wine_decision_tree.png;Total phenols, Proanthocyanins
|
145 |
+
Wine_correlation_heatmap.png;Alcohol, Malic acid, Ash, Alcalinity of ash, Total phenols, Flavanoids, Nonflavanoid phenols, Proanthocyanins, Color intensity, Hue, OD280-OD315 of diluted wines
|
146 |
+
Wine_boxplots.png;Alcohol, Malic acid, Ash, Alcalinity of ash, Total phenols, Flavanoids, Nonflavanoid phenols, Proanthocyanins, Color intensity, Hue, OD280-OD315 of diluted wines
|
147 |
+
Wine_class_histogram.png;Class
|
148 |
+
Wine_histograms_numeric.png;Alcohol, Malic acid, Ash, Alcalinity of ash, Total phenols, Flavanoids, Nonflavanoid phenols, Proanthocyanins, Color intensity, Hue, OD280-OD315 of diluted wines
|
149 |
+
water_potability_decision_tree.png;Hardness, Chloramines
|
150 |
+
water_potability_correlation_heatmap.png;ph, Hardness, Chloramines, Sulfate, Conductivity, Trihalomethanes, Turbidity
|
151 |
+
water_potability_boxplots.png;ph, Hardness, Chloramines, Sulfate, Conductivity, Trihalomethanes, Turbidity
|
152 |
+
water_potability_mv.png;ph, Sulfate, Trihalomethanes
|
153 |
+
water_potability_class_histogram.png;Potability
|
154 |
+
water_potability_histograms_numeric.png;ph, Hardness, Chloramines, Sulfate, Conductivity, Trihalomethanes, Turbidity
|
155 |
+
abalone_decision_tree.png;Height, Diameter
|
156 |
+
abalone_correlation_heatmap.png;Length, Diameter, Height, Whole weight, Shucked weight, Viscera weight, Shell weight, Rings
|
157 |
+
abalone_boxplots.png;Length, Diameter, Height, Whole weight, Shucked weight, Viscera weight, Shell weight, Rings
|
158 |
+
abalone_class_histogram.png;Sex
|
159 |
+
abalone_histograms_numeric.png;Length, Diameter, Height, Whole weight, Shucked weight, Viscera weight, Shell weight, Rings
|
160 |
+
smoking_drinking_decision_tree.png;SMK_stat_type_cd, gamma_GTP
|
161 |
+
smoking_drinking_correlation_heatmap.png;age, height, weight, waistline, SBP, BLDS, tot_chole, LDL_chole, triglyceride, hemoglobin, gamma_GTP, SMK_stat_type_cd
|
162 |
+
smoking_drinking_boxplots.png;age, height, weight, waistline, SBP, BLDS, tot_chole, LDL_chole, triglyceride, hemoglobin, gamma_GTP, SMK_stat_type_cd
|
163 |
+
smoking_drinking_histograms_symbolic.png;sex, hear_left, hear_right
|
164 |
+
smoking_drinking_class_histogram.png;DRK_YN
|
165 |
+
smoking_drinking_histograms_numeric.png;age, height, weight, waistline, SBP, BLDS, tot_chole, LDL_chole, triglyceride, hemoglobin, gamma_GTP, SMK_stat_type_cd
|
166 |
+
BankNoteAuthentication_decision_tree.png;skewness, curtosis
|
167 |
+
BankNoteAuthentication_correlation_heatmap.png;variance, skewness, curtosis, entropy
|
168 |
+
BankNoteAuthentication_boxplots.png;variance, skewness, curtosis, entropy
|
169 |
+
BankNoteAuthentication_class_histogram.png;class
|
170 |
+
BankNoteAuthentication_histograms_numeric.png;variance, skewness, curtosis, entropy
|
171 |
+
Iris_decision_tree.png;PetalWidthCm, PetalWidthCm
|
172 |
+
Iris_correlation_heatmap.png;SepalLengthCm, SepalWidthCm, PetalLengthCm, PetalWidthCm
|
173 |
+
Iris_boxplots.png;SepalLengthCm, SepalWidthCm, PetalLengthCm, PetalWidthCm
|
174 |
+
Iris_class_histogram.png;Species
|
175 |
+
Iris_histograms_numeric.png;SepalLengthCm, SepalWidthCm, PetalLengthCm, PetalWidthCm
|
176 |
+
phone_decision_tree.png;int_memory, mobile_wt
|
177 |
+
phone_correlation_heatmap.png;battery_power, fc, int_memory, mobile_wt, n_cores, pc, px_height, px_width, ram, sc_h, sc_w, talk_time
|
178 |
+
phone_boxplots.png;battery_power, fc, int_memory, mobile_wt, n_cores, pc, px_height, px_width, ram, sc_h, sc_w, talk_time
|
179 |
+
phone_histograms_symbolic.png;blue, dual_sim, four_g, three_g, touch_screen, wifi
|
180 |
+
phone_class_histogram.png;price_range
|
181 |
+
phone_histograms_numeric.png;battery_power, fc, int_memory, mobile_wt, n_cores, pc, px_height, px_width, ram, sc_h, sc_w, talk_time
|
182 |
+
Titanic_decision_tree.png;Pclass, Parch
|
183 |
+
Titanic_correlation_heatmap.png;Pclass, Age, SibSp, Parch, Fare
|
184 |
+
Titanic_boxplots.png;Pclass, Age, SibSp, Parch, Fare
|
185 |
+
Titanic_histograms_symbolic.png;Embarked, Sex
|
186 |
+
Titanic_mv.png;Age, Embarked
|
187 |
+
Titanic_class_histogram.png;Survived
|
188 |
+
Titanic_histograms_numeric.png;Pclass, Age, SibSp, Parch, Fare
|
189 |
+
apple_quality_decision_tree.png;Juiciness, Crunchiness
|
190 |
+
apple_quality_correlation_heatmap.png;Size, Weight, Sweetness, Crunchiness, Juiciness, Ripeness, Acidity
|
191 |
+
apple_quality_boxplots.png;Size, Weight, Sweetness, Crunchiness, Juiciness, Ripeness, Acidity
|
192 |
+
apple_quality_class_histogram.png;Quality
|
193 |
+
apple_quality_histograms_numeric.png;Size, Weight, Sweetness, Crunchiness, Juiciness, Ripeness, Acidity
|
194 |
+
Employee_decision_tree.png;JoiningYear, ExperienceInCurrentDomain
|
195 |
+
Employee_correlation_heatmap.png;JoiningYear, PaymentTier, Age, ExperienceInCurrentDomain
|
196 |
+
Employee_boxplots.png;JoiningYear, PaymentTier, Age, ExperienceInCurrentDomain
|
197 |
+
Employee_histograms_symbolic.png;Education, City, Gender, EverBenched
|
198 |
+
Employee_class_histogram.png;LeaveOrNot
|
199 |
+
Employee_histograms_numeric.png;JoiningYear, PaymentTier, Age, ExperienceInCurrentDomain
|
vars_dataset_test.csv
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
Chart;description
|
2 |
+
Titanic_decision_tree.png;Pclass, Parch
|
3 |
+
Titanic_correlation_heatmap.png;Pclass, Age, SibSp, Parch, Fare
|
4 |
+
Titanic_boxplots.png;Pclass, Age, SibSp, Parch, Fare
|
5 |
+
Titanic_histograms_symbolic.png;Embarked, Sex
|
6 |
+
Titanic_mv.png;Age, Embarked
|
7 |
+
Titanic_class_histogram.png;Survived
|
8 |
+
Titanic_histograms_numeric.png;Pclass, Age, SibSp, Parch, Fare
|
vars_dataset_train.csv
ADDED
@@ -0,0 +1,192 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
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|
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|
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|
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|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
Chart;description
|
2 |
+
ObesityDataSet_decision_tree.png;FAF, Height
|
3 |
+
ObesityDataSet_correlation_heatmap.png;Age, Height, Weight, FCVC, NCP, CH2O, FAF, TUE
|
4 |
+
ObesityDataSet_boxplots.png;Age, Height, Weight, FCVC, NCP, CH2O, FAF, TUE
|
5 |
+
ObesityDataSet_histograms_symbolic.png;CAEC, CALC, MTRANS, Gender, family_history_with_overweight, FAVC, SMOKE, SCC
|
6 |
+
ObesityDataSet_class_histogram.png;NObeyesdad
|
7 |
+
ObesityDataSet_histograms_numeric.png;Age, Height, Weight, FCVC, NCP, CH2O, FAF, TUE
|
8 |
+
customer_segmentation_decision_tree.png;Family_Size, Work_Experience
|
9 |
+
customer_segmentation_correlation_heatmap.png;Age, Work_Experience, Family_Size
|
10 |
+
customer_segmentation_boxplots.png;Age, Work_Experience, Family_Size
|
11 |
+
customer_segmentation_histograms_symbolic.png;Profession, Spending_Score, Var_1, Gender, Ever_Married, Graduated
|
12 |
+
customer_segmentation_mv.png;Ever_Married, Graduated, Profession, Work_Experience, Family_Size, Var_1
|
13 |
+
customer_segmentation_class_histogram.png;Segmentation
|
14 |
+
customer_segmentation_histograms_numeric.png;Age, Work_Experience, Family_Size
|
15 |
+
urinalysis_tests_decision_tree.png;Age, pH
|
16 |
+
urinalysis_tests_correlation_heatmap.png;Age, pH, Specific Gravity
|
17 |
+
urinalysis_tests_boxplots.png;Age, pH, Specific Gravity
|
18 |
+
urinalysis_tests_histograms_symbolic.png;Color, Transparency, Glucose, Protein, Epithelial Cells, Mucous Threads, Amorphous Urates, Bacteria, Gender
|
19 |
+
urinalysis_tests_mv.png;Color
|
20 |
+
urinalysis_tests_class_histogram.png;Diagnosis
|
21 |
+
urinalysis_tests_histograms_numeric.png;Age, pH, Specific Gravity
|
22 |
+
detect_dataset_decision_tree.png;Ic, Vb
|
23 |
+
detect_dataset_correlation_heatmap.png;Ia, Ib, Ic, Va, Vb, Vc
|
24 |
+
detect_dataset_boxplots.png;Ia, Ib, Ic, Va, Vb, Vc
|
25 |
+
detect_dataset_class_histogram.png;Output
|
26 |
+
detect_dataset_histograms_numeric.png;Ia, Ib, Ic, Va, Vb, Vc
|
27 |
+
diabetes_decision_tree.png;BMI, Age
|
28 |
+
diabetes_correlation_heatmap.png;Pregnancies, Glucose, BloodPressure, SkinThickness, Insulin, BMI, DiabetesPedigreeFunction, Age
|
29 |
+
diabetes_boxplots.png;Pregnancies, Glucose, BloodPressure, SkinThickness, Insulin, BMI, DiabetesPedigreeFunction, Age
|
30 |
+
diabetes_class_histogram.png;Outcome
|
31 |
+
diabetes_histograms_numeric.png;Pregnancies, Glucose, BloodPressure, SkinThickness, Insulin, BMI, DiabetesPedigreeFunction, Age
|
32 |
+
Placement_decision_tree.png;ssc_p, hsc_p
|
33 |
+
Placement_correlation_heatmap.png;ssc_p, hsc_p, degree_p, etest_p, mba_p
|
34 |
+
Placement_boxplots.png;ssc_p, hsc_p, degree_p, etest_p, mba_p
|
35 |
+
Placement_histograms_symbolic.png;hsc_s, degree_t, gender, ssc_b, hsc_b, workex, specialisation
|
36 |
+
Placement_class_histogram.png;status
|
37 |
+
Placement_histograms_numeric.png;ssc_p, hsc_p, degree_p, etest_p, mba_p
|
38 |
+
Liver_Patient_decision_tree.png;Alkphos, Sgot
|
39 |
+
Liver_Patient_correlation_heatmap.png;Age, TB, DB, Alkphos, Sgpt, Sgot, TP, ALB, AG_Ratio
|
40 |
+
Liver_Patient_boxplots.png;Age, TB, DB, Alkphos, Sgpt, Sgot, TP, ALB, AG_Ratio
|
41 |
+
Liver_Patient_histograms_symbolic.png;Gender
|
42 |
+
Liver_Patient_mv.png;AG_Ratio
|
43 |
+
Liver_Patient_class_histogram.png;Selector
|
44 |
+
Liver_Patient_histograms_numeric.png;Age, TB, DB, Alkphos, Sgpt, Sgot, TP, ALB, AG_Ratio
|
45 |
+
Hotel_Reservations_decision_tree.png;lead_time, no_of_special_requests
|
46 |
+
Hotel_Reservations_correlation_heatmap.png;no_of_adults, no_of_children, no_of_weekend_nights, no_of_week_nights, lead_time, arrival_month, arrival_date, avg_price_per_room, no_of_special_requests
|
47 |
+
Hotel_Reservations_boxplots.png;no_of_adults, no_of_children, no_of_weekend_nights, no_of_week_nights, lead_time, arrival_month, arrival_date, avg_price_per_room, no_of_special_requests
|
48 |
+
Hotel_Reservations_histograms_symbolic.png;type_of_meal_plan, room_type_reserved, required_car_parking_space, arrival_year, repeated_guest
|
49 |
+
Hotel_Reservations_class_histogram.png;booking_status
|
50 |
+
Hotel_Reservations_histograms_numeric.png;no_of_adults, no_of_children, no_of_weekend_nights, no_of_week_nights, lead_time, arrival_month, arrival_date, avg_price_per_room, no_of_special_requests
|
51 |
+
StressLevelDataset_decision_tree.png;basic_needs, bullying
|
52 |
+
StressLevelDataset_correlation_heatmap.png;anxiety_level, self_esteem, depression, headache, sleep_quality, breathing_problem, living_conditions, basic_needs, study_load, bullying
|
53 |
+
StressLevelDataset_boxplots.png;anxiety_level, self_esteem, depression, headache, sleep_quality, breathing_problem, living_conditions, basic_needs, study_load, bullying
|
54 |
+
StressLevelDataset_histograms_symbolic.png;mental_health_history
|
55 |
+
StressLevelDataset_class_histogram.png;stress_level
|
56 |
+
StressLevelDataset_histograms_numeric.png;anxiety_level, self_esteem, depression, headache, sleep_quality, breathing_problem, living_conditions, basic_needs, study_load, bullying
|
57 |
+
WineQT_decision_tree.png;density, chlorides
|
58 |
+
WineQT_correlation_heatmap.png;fixed acidity, volatile acidity, citric acid, residual sugar, chlorides, free sulfur dioxide, total sulfur dioxide, density, pH, sulphates, alcohol
|
59 |
+
WineQT_boxplots.png;fixed acidity, volatile acidity, citric acid, residual sugar, chlorides, free sulfur dioxide, total sulfur dioxide, density, pH, sulphates, alcohol
|
60 |
+
WineQT_class_histogram.png;quality
|
61 |
+
WineQT_histograms_numeric.png;fixed acidity, volatile acidity, citric acid, residual sugar, chlorides, free sulfur dioxide, total sulfur dioxide, density, pH, sulphates, alcohol
|
62 |
+
loan_data_decision_tree.png;Loan_Amount_Term, ApplicantIncome
|
63 |
+
loan_data_correlation_heatmap.png;ApplicantIncome, CoapplicantIncome, LoanAmount, Loan_Amount_Term
|
64 |
+
loan_data_boxplots.png;ApplicantIncome, CoapplicantIncome, LoanAmount, Loan_Amount_Term
|
65 |
+
loan_data_histograms_symbolic.png;Dependents, Property_Area, Gender, Married, Education, Self_Employed, Credit_History
|
66 |
+
loan_data_mv.png;Gender, Dependents, Self_Employed, Loan_Amount_Term, Credit_History
|
67 |
+
loan_data_class_histogram.png;Loan_Status
|
68 |
+
loan_data_histograms_numeric.png;ApplicantIncome, CoapplicantIncome, LoanAmount, Loan_Amount_Term
|
69 |
+
Dry_Bean_Dataset_decision_tree.png;Area, AspectRation
|
70 |
+
Dry_Bean_Dataset_correlation_heatmap.png;Area, Perimeter, MinorAxisLength, AspectRation, Eccentricity, EquivDiameter, Extent, Solidity, roundness, ShapeFactor1
|
71 |
+
Dry_Bean_Dataset_boxplots.png;Area, Perimeter, MinorAxisLength, AspectRation, Eccentricity, EquivDiameter, Extent, Solidity, roundness, ShapeFactor1
|
72 |
+
Dry_Bean_Dataset_class_histogram.png;Class
|
73 |
+
Dry_Bean_Dataset_histograms_numeric.png;Area, Perimeter, MinorAxisLength, AspectRation, Eccentricity, EquivDiameter, Extent, Solidity, roundness, ShapeFactor1
|
74 |
+
credit_customers_decision_tree.png;existing_credits, residence_since
|
75 |
+
credit_customers_correlation_heatmap.png;duration, credit_amount, installment_commitment, residence_since, age, existing_credits
|
76 |
+
credit_customers_boxplots.png;duration, credit_amount, installment_commitment, residence_since, age, existing_credits
|
77 |
+
credit_customers_histograms_symbolic.png;checking_status, employment, other_parties, other_payment_plans, housing, num_dependents, own_telephone, foreign_worker
|
78 |
+
credit_customers_class_histogram.png;class
|
79 |
+
credit_customers_histograms_numeric.png;duration, credit_amount, installment_commitment, residence_since, age, existing_credits
|
80 |
+
weatherAUS_decision_tree.png;Rainfall, Pressure3pm
|
81 |
+
weatherAUS_correlation_heatmap.png;Rainfall, WindSpeed9am, Pressure9am, Pressure3pm, Cloud9am, Cloud3pm, Temp3pm
|
82 |
+
weatherAUS_boxplots.png;Rainfall, WindSpeed9am, Pressure9am, Pressure3pm, Cloud9am, Cloud3pm, Temp3pm
|
83 |
+
weatherAUS_histograms_symbolic.png;Location, WindGustDir, WindDir9am, WindDir3pm, RainToday
|
84 |
+
weatherAUS_mv.png;Rainfall, WindGustDir, WindDir9am, WindDir3pm, WindSpeed9am, Pressure9am, Pressure3pm, Cloud9am, Cloud3pm, Temp3pm, RainToday
|
85 |
+
weatherAUS_class_histogram.png;RainTomorrow
|
86 |
+
weatherAUS_histograms_numeric.png;Rainfall, WindSpeed9am, Pressure9am, Pressure3pm, Cloud9am, Cloud3pm, Temp3pm
|
87 |
+
car_insurance_decision_tree.png;displacement, height
|
88 |
+
car_insurance_correlation_heatmap.png;policy_tenure, age_of_car, age_of_policyholder, airbags, displacement, length, width, height, gross_weight
|
89 |
+
car_insurance_boxplots.png;policy_tenure, age_of_car, age_of_policyholder, airbags, displacement, length, width, height, gross_weight
|
90 |
+
car_insurance_histograms_symbolic.png;area_cluster, segment, model, fuel_type, max_torque, max_power, steering_type, is_esc, is_adjustable_steering
|
91 |
+
car_insurance_class_histogram.png;is_claim
|
92 |
+
car_insurance_histograms_numeric.png;policy_tenure, age_of_car, age_of_policyholder, airbags, displacement, length, width, height, gross_weight
|
93 |
+
heart_decision_tree.png;slope, restecg
|
94 |
+
heart_correlation_heatmap.png;age, cp, trestbps, chol, restecg, thalach, oldpeak, slope, ca, thal
|
95 |
+
heart_boxplots.png;age, cp, trestbps, chol, restecg, thalach, oldpeak, slope, ca, thal
|
96 |
+
heart_histograms_symbolic.png;sex, fbs, exang
|
97 |
+
heart_class_histogram.png;target
|
98 |
+
heart_histograms_numeric.png;age, cp, trestbps, chol, restecg, thalach, oldpeak, slope, ca, thal
|
99 |
+
Breast_Cancer_decision_tree.png;perimeter_mean, texture_worst
|
100 |
+
Breast_Cancer_correlation_heatmap.png;texture_mean, perimeter_mean, texture_se, perimeter_se, area_se, smoothness_se, symmetry_se, radius_worst, texture_worst, perimeter_worst
|
101 |
+
Breast_Cancer_boxplots.png;texture_mean, perimeter_mean, texture_se, perimeter_se, area_se, smoothness_se, symmetry_se, radius_worst, texture_worst, perimeter_worst
|
102 |
+
Breast_Cancer_class_histogram.png;diagnosis
|
103 |
+
Breast_Cancer_histograms_numeric.png;texture_mean, perimeter_mean, texture_se, perimeter_se, area_se, smoothness_se, symmetry_se, radius_worst, texture_worst, perimeter_worst
|
104 |
+
e-commerce_decision_tree.png;Prior_purchases, Customer_care_calls
|
105 |
+
e-commerce_correlation_heatmap.png;Customer_care_calls, Customer_rating, Cost_of_the_Product, Prior_purchases, Discount_offered, Weight_in_gms
|
106 |
+
e-commerce_boxplots.png;Customer_care_calls, Customer_rating, Cost_of_the_Product, Prior_purchases, Discount_offered, Weight_in_gms
|
107 |
+
e-commerce_histograms_symbolic.png;Warehouse_block, Mode_of_Shipment, Product_importance, Gender
|
108 |
+
e-commerce_class_histogram.png;ReachedOnTime
|
109 |
+
e-commerce_histograms_numeric.png;Customer_care_calls, Customer_rating, Cost_of_the_Product, Prior_purchases, Discount_offered, Weight_in_gms
|
110 |
+
maintenance_decision_tree.png;Rotational speed [rpm], Torque [Nm]
|
111 |
+
maintenance_correlation_heatmap.png;Air temperature [K], Process temperature [K], Rotational speed [rpm], Torque [Nm], Tool wear [min]
|
112 |
+
maintenance_boxplots.png;Air temperature [K], Process temperature [K], Rotational speed [rpm], Torque [Nm], Tool wear [min]
|
113 |
+
maintenance_histograms_symbolic.png;Type, TWF, HDF, PWF, OSF, RNF
|
114 |
+
maintenance_class_histogram.png;Machine_failure
|
115 |
+
maintenance_histograms_numeric.png;Air temperature [K], Process temperature [K], Rotational speed [rpm], Torque [Nm], Tool wear [min]
|
116 |
+
Churn_Modelling_decision_tree.png;Age, NumOfProducts
|
117 |
+
Churn_Modelling_correlation_heatmap.png;CreditScore, Age, Tenure, Balance, NumOfProducts, EstimatedSalary
|
118 |
+
Churn_Modelling_boxplots.png;CreditScore, Age, Tenure, Balance, NumOfProducts, EstimatedSalary
|
119 |
+
Churn_Modelling_histograms_symbolic.png;Geography, Gender, HasCrCard, IsActiveMember
|
120 |
+
Churn_Modelling_class_histogram.png;Exited
|
121 |
+
Churn_Modelling_histograms_numeric.png;CreditScore, Age, Tenure, Balance, NumOfProducts, EstimatedSalary
|
122 |
+
vehicle_decision_tree.png;MAJORSKEWNESS, CIRCULARITY
|
123 |
+
vehicle_correlation_heatmap.png;COMPACTNESS, CIRCULARITY, DISTANCE CIRCULARITY, RADIUS RATIO, MAJORVARIANCE, MINORVARIANCE, GYRATIONRADIUS, MAJORSKEWNESS, MINORSKEWNESS, MINORKURTOSIS, MAJORKURTOSIS
|
124 |
+
vehicle_boxplots.png;COMPACTNESS, CIRCULARITY, DISTANCE CIRCULARITY, RADIUS RATIO, MAJORVARIANCE, MINORVARIANCE, GYRATIONRADIUS, MAJORSKEWNESS, MINORSKEWNESS, MINORKURTOSIS, MAJORKURTOSIS
|
125 |
+
vehicle_class_histogram.png;target
|
126 |
+
vehicle_histograms_numeric.png;COMPACTNESS, CIRCULARITY, DISTANCE CIRCULARITY, RADIUS RATIO, MAJORVARIANCE, MINORVARIANCE, GYRATIONRADIUS, MAJORSKEWNESS, MINORSKEWNESS, MINORKURTOSIS, MAJORKURTOSIS
|
127 |
+
adult_decision_tree.png;hours-per-week, capital-loss
|
128 |
+
adult_correlation_heatmap.png;age, fnlwgt, educational-num, capital-gain, capital-loss, hours-per-week
|
129 |
+
adult_boxplots.png;age, fnlwgt, educational-num, capital-gain, capital-loss, hours-per-week
|
130 |
+
adult_histograms_symbolic.png;workclass, education, marital-status, occupation, relationship, race, gender
|
131 |
+
adult_class_histogram.png;income
|
132 |
+
adult_histograms_numeric.png;age, fnlwgt, educational-num, capital-gain, capital-loss, hours-per-week
|
133 |
+
Covid_Data_decision_tree.png;CARDIOVASCULAR, ASHTMA
|
134 |
+
Covid_Data_correlation_heatmap.png;MEDICAL_UNIT, PNEUMONIA, AGE, PREGNANT, COPD, ASTHMA, HIPERTENSION, OTHER_DISEASE, CARDIOVASCULAR, RENAL_CHRONIC, TOBACCO, ICU
|
135 |
+
Covid_Data_boxplots.png;MEDICAL_UNIT, PNEUMONIA, AGE, PREGNANT, COPD, ASTHMA, HIPERTENSION, OTHER_DISEASE, CARDIOVASCULAR, RENAL_CHRONIC, TOBACCO, ICU
|
136 |
+
Covid_Data_histograms_symbolic.png;USMER, SEX, PATIENT_TYPE
|
137 |
+
Covid_Data_class_histogram.png;CLASSIFICATION
|
138 |
+
Covid_Data_histograms_numeric.png;MEDICAL_UNIT, PNEUMONIA, AGE, PREGNANT, COPD, ASTHMA, HIPERTENSION, OTHER_DISEASE, CARDIOVASCULAR, RENAL_CHRONIC, TOBACCO, ICU
|
139 |
+
sky_survey_decision_tree.png;dec, mjd
|
140 |
+
sky_survey_correlation_heatmap.png;ra, dec, run, camcol, field, redshift, plate, mjd
|
141 |
+
sky_survey_boxplots.png;ra, dec, run, camcol, field, redshift, plate, mjd
|
142 |
+
sky_survey_class_histogram.png;class
|
143 |
+
sky_survey_histograms_numeric.png;ra, dec, run, camcol, field, redshift, plate, mjd
|
144 |
+
Wine_decision_tree.png;Total phenols, Proanthocyanins
|
145 |
+
Wine_correlation_heatmap.png;Alcohol, Malic acid, Ash, Alcalinity of ash, Total phenols, Flavanoids, Nonflavanoid phenols, Proanthocyanins, Color intensity, Hue, OD280-OD315 of diluted wines
|
146 |
+
Wine_boxplots.png;Alcohol, Malic acid, Ash, Alcalinity of ash, Total phenols, Flavanoids, Nonflavanoid phenols, Proanthocyanins, Color intensity, Hue, OD280-OD315 of diluted wines
|
147 |
+
Wine_class_histogram.png;Class
|
148 |
+
Wine_histograms_numeric.png;Alcohol, Malic acid, Ash, Alcalinity of ash, Total phenols, Flavanoids, Nonflavanoid phenols, Proanthocyanins, Color intensity, Hue, OD280-OD315 of diluted wines
|
149 |
+
water_potability_decision_tree.png;Hardness, Chloramines
|
150 |
+
water_potability_correlation_heatmap.png;ph, Hardness, Chloramines, Sulfate, Conductivity, Trihalomethanes, Turbidity
|
151 |
+
water_potability_boxplots.png;ph, Hardness, Chloramines, Sulfate, Conductivity, Trihalomethanes, Turbidity
|
152 |
+
water_potability_mv.png;ph, Sulfate, Trihalomethanes
|
153 |
+
water_potability_class_histogram.png;Potability
|
154 |
+
water_potability_histograms_numeric.png;ph, Hardness, Chloramines, Sulfate, Conductivity, Trihalomethanes, Turbidity
|
155 |
+
abalone_decision_tree.png;Height, Diameter
|
156 |
+
abalone_correlation_heatmap.png;Length, Diameter, Height, Whole weight, Shucked weight, Viscera weight, Shell weight, Rings
|
157 |
+
abalone_boxplots.png;Length, Diameter, Height, Whole weight, Shucked weight, Viscera weight, Shell weight, Rings
|
158 |
+
abalone_class_histogram.png;Sex
|
159 |
+
abalone_histograms_numeric.png;Length, Diameter, Height, Whole weight, Shucked weight, Viscera weight, Shell weight, Rings
|
160 |
+
smoking_drinking_decision_tree.png;SMK_stat_type_cd, gamma_GTP
|
161 |
+
smoking_drinking_correlation_heatmap.png;age, height, weight, waistline, SBP, BLDS, tot_chole, LDL_chole, triglyceride, hemoglobin, gamma_GTP, SMK_stat_type_cd
|
162 |
+
smoking_drinking_boxplots.png;age, height, weight, waistline, SBP, BLDS, tot_chole, LDL_chole, triglyceride, hemoglobin, gamma_GTP, SMK_stat_type_cd
|
163 |
+
smoking_drinking_histograms_symbolic.png;sex, hear_left, hear_right
|
164 |
+
smoking_drinking_class_histogram.png;DRK_YN
|
165 |
+
smoking_drinking_histograms_numeric.png;age, height, weight, waistline, SBP, BLDS, tot_chole, LDL_chole, triglyceride, hemoglobin, gamma_GTP, SMK_stat_type_cd
|
166 |
+
BankNoteAuthentication_decision_tree.png;skewness, curtosis
|
167 |
+
BankNoteAuthentication_correlation_heatmap.png;variance, skewness, curtosis, entropy
|
168 |
+
BankNoteAuthentication_boxplots.png;variance, skewness, curtosis, entropy
|
169 |
+
BankNoteAuthentication_class_histogram.png;class
|
170 |
+
BankNoteAuthentication_histograms_numeric.png;variance, skewness, curtosis, entropy
|
171 |
+
Iris_decision_tree.png;PetalWidthCm, PetalWidthCm
|
172 |
+
Iris_correlation_heatmap.png;SepalLengthCm, SepalWidthCm, PetalLengthCm, PetalWidthCm
|
173 |
+
Iris_boxplots.png;SepalLengthCm, SepalWidthCm, PetalLengthCm, PetalWidthCm
|
174 |
+
Iris_class_histogram.png;Species
|
175 |
+
Iris_histograms_numeric.png;SepalLengthCm, SepalWidthCm, PetalLengthCm, PetalWidthCm
|
176 |
+
phone_decision_tree.png;int_memory, mobile_wt
|
177 |
+
phone_correlation_heatmap.png;battery_power, fc, int_memory, mobile_wt, n_cores, pc, px_height, px_width, ram, sc_h, sc_w, talk_time
|
178 |
+
phone_boxplots.png;battery_power, fc, int_memory, mobile_wt, n_cores, pc, px_height, px_width, ram, sc_h, sc_w, talk_time
|
179 |
+
phone_histograms_symbolic.png;blue, dual_sim, four_g, three_g, touch_screen, wifi
|
180 |
+
phone_class_histogram.png;price_range
|
181 |
+
phone_histograms_numeric.png;battery_power, fc, int_memory, mobile_wt, n_cores, pc, px_height, px_width, ram, sc_h, sc_w, talk_time
|
182 |
+
apple_quality_decision_tree.png;Juiciness, Crunchiness
|
183 |
+
apple_quality_correlation_heatmap.png;Size, Weight, Sweetness, Crunchiness, Juiciness, Ripeness, Acidity
|
184 |
+
apple_quality_boxplots.png;Size, Weight, Sweetness, Crunchiness, Juiciness, Ripeness, Acidity
|
185 |
+
apple_quality_class_histogram.png;Quality
|
186 |
+
apple_quality_histograms_numeric.png;Size, Weight, Sweetness, Crunchiness, Juiciness, Ripeness, Acidity
|
187 |
+
Employee_decision_tree.png;JoiningYear, ExperienceInCurrentDomain
|
188 |
+
Employee_correlation_heatmap.png;JoiningYear, PaymentTier, Age, ExperienceInCurrentDomain
|
189 |
+
Employee_boxplots.png;JoiningYear, PaymentTier, Age, ExperienceInCurrentDomain
|
190 |
+
Employee_histograms_symbolic.png;Education, City, Gender, EverBenched
|
191 |
+
Employee_class_histogram.png;LeaveOrNot
|
192 |
+
Employee_histograms_numeric.png;JoiningYear, PaymentTier, Age, ExperienceInCurrentDomain
|