license: apache-2.0
library_name: sklearn
tags:
- tabular-classification
- baseline-trainer
Baseline Model trained on arinfo_sample_dataset_finaltffwjv58 to apply classification on model
Metrics of the best model:
accuracy 0.930688
recall_macro 0.655991
precision_macro 0.640972
f1_macro 0.638021
Name: DecisionTreeClassifier(class_weight='balanced', max_depth=2249), dtype: float64
See model plot below:
Pipeline(steps=[('easypreprocessor',EasyPreprocessor(types= continuous dirty_float low_card_int ... date free_string useless
rto False False False ... False True False
ownerNum False False False ... False False False
cc False False False ... False False False
insurance False False False ... False False False
weight True False False ... False False False
financer False False False ... False True False
fu...
class False False False ... False False False
state False False False ... False False False
year False False False ... False False False
categoryId False False False ... False False False
onroadPrice True False False ... False False False
price_FAIR True False False ... False False False[13 rows x 7 columns])),('decisiontreeclassifier',DecisionTreeClassifier(class_weight='balanced',max_depth=2249))])
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
Pipeline(steps=[('easypreprocessor',EasyPreprocessor(types= continuous dirty_float low_card_int ... date free_string useless
rto False False False ... False True False
ownerNum False False False ... False False False
cc False False False ... False False False
insurance False False False ... False False False
weight True False False ... False False False
financer False False False ... False True False
fu...
class False False False ... False False False
state False False False ... False False False
year False False False ... False False False
categoryId False False False ... False False False
onroadPrice True False False ... False False False
price_FAIR True False False ... False False False[13 rows x 7 columns])),('decisiontreeclassifier',DecisionTreeClassifier(class_weight='balanced',max_depth=2249))])EasyPreprocessor(types= continuous dirty_float low_card_int ... date free_string useless rto False False False ... False True False ownerNum False False False ... False False False cc False False False ... False False False insurance False False False ... False False False weight True False False ... False False False financer False False False ... False True False fuelType False False False ... False False False class False False False ... False False False state False False False ... False False False year False False False ... False False False categoryId False False False ... False False False onroadPrice True False False ... False False False price_FAIR True False False ... False False False[13 rows x 7 columns])
DecisionTreeClassifier(class_weight='balanced', max_depth=2249)
Disclaimer: This model is trained with dabl library as a baseline, for better results, use AutoTrain.
Logs of training including the models tried in the process can be found in logs.txt