Run
1673311

Run 1673311

Task 3021 (Supervised Classification) sick Uploaded 21-07-2016 by Jan van Rijn
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Flow

weka.AdaBoostM1_LMT(3)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.LMT(4)_I-1
weka.LMT(4)_M15
weka.LMT(4)_W0.0
weka.AdaBoostM1_LMT(3)_P100
weka.AdaBoostM1_LMT(3)_S1
weka.AdaBoostM1_LMT(3)_I10
weka.AdaBoostM1_LMT(3)_Wweka.classifiers.trees.LMT

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

Area under ROC curve
0.9748
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9905
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9173
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3277.7673
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0101
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1152
Cross-validation details (10-fold Crossvalidation)
Number of instances
3772
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9905
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9905
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3333
Cross-validation details (10-fold Crossvalidation)
Recall
0.9905
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0873
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2398
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0968
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4037
Cross-validation details (10-fold Crossvalidation)