Score Dummy (prior) Explanation
AUC 0.779361 0.500000 Area under the ROC curve (true pos. rate vs false pos. rate); ranges from 0.5 (purely random classifier) to 1.0 (perfect classifier)
True Positive Rate 0.338983 0.000000 33.9% of positive instances were correctly identified.; i.e. 20 "Defaulted" labels were correctly identified out of 59 instances; a.k.a Sensitivity/Recall
True Negative Rate 0.936170 1.000000 93.6% of negative instances were correctly identified.; i.e. 132 "Not Defaulted" labels were correctly identified out of 141 instances
False Positive Rate 0.063830 0.000000 6.4% of negative instances were incorrectly identified as positive; i.e. 9 "Not Defaulted" labels were incorrectly identified as "Defaulted", out of 141 instances
False Negative Rate 0.661017 1.000000 66.1% of positive instances were incorrectly identified as negative; i.e. 39 "Defaulted" labels were incorrectly identified as "Not Defaulted", out of 59 instances
Positive Predictive Value 0.689655 0.000000 When the model claims an instance is positive, it is correct 69.0% of the time; i.e. out of the 29 times the model predicted "Defaulted", it was correct 20 times; a.k.a precision
Negative Predictive Value 0.771930 0.705000 When the model claims an instance is negative, it is correct 77.2% of the time; i.e. out of the 171 times the model predicted "Not Defaulted", it was correct 132 times
F1 Score 0.454545 0.000000 The F1 score can be interpreted as a weighted average of the precision and recall, where an F1 score reaches its best value at 1 and worst score at 0.
Precision/Recall AUC 0.588795 0.295000 Precision/Recall AUC is calculated with `average_precision` which summarizes a precision-recall curve as the weighted mean of precisions achieved at each threshold. See sci-kit learn documentation for caveats.
Accuracy 0.760000 0.705000 76.0% of instances were correctly identified
Error Rate 0.240000 0.295000 24.0% of instances were incorrectly identified
% Positive 0.295000 0.295000 29.5% of the data are positive; i.e. out of 200 total observations; 59 are labeled as "Defaulted"
Total Observations 200 200 There are 200 total observations; i.e. sample size