PATENT CLAIM ANALYSIS

Application Number: 15928363
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-03
Patent Classification: ["706", "012000"]

Abstract:
A computing device provides a cluster connectivity graph presented on a display to summarize machine learning model performance. A classification value is predicted is predicted for a response variable value of each observation vector using a trained model. Observation vectors are divided into overlapping data slices that are separately clustered using the predicted classification value to define a set of clusters. A number of observations in each cluster is computed. An accuracy measure is computed for each cluster based on the predicted classification value. A number of overlapping observations between each pair of clusters is computed. The cluster connectivity graph includes a node for each cluster. A size of each node is determined from the computed number of observations. A fill-pattern of each node is determined from the computed accuracy measure. A connector line between each pair of nodes is determined from the computed number of overlapping observations.

Claim (Index 20):
The method of  claim 17 , wherein the classification value is predicted based on a probability value output from a layer of the trained model.

Metadata:
- Claim Count in Document: 80.0
- Percentile: 90.0
- Lexical Diversity: 2.39394
- Patent Class: 706.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15911882', '15822462', '14924929', '15686863', '15890841']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3707048490225393
- 35 USC 102 Novelty (BERT): 0.5089010690860251
- Combined Prediction Score: 0.3845244710288879
- Mean Citation Score: 247.521706
- Max Citation Score: 287.7012
- Similarity Product: 235.3863161436081

Labels:
- Claim Label 101: 0
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 0

Dataset: test