Run
1810630

Run 1810630

Task 4000 (Supervised Classification) OVA_Ovary Uploaded 30-07-2016 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.8712
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9277
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6693
Cross-validation details (10-fold Crossvalidation)
KB relative information score
911.7094
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0708
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2238
Cross-validation details (10-fold Crossvalidation)
Number of instances
1545
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9267
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9295
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.5537
Cross-validation details (10-fold Crossvalidation)
Recall
0.9295
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3161
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3343
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2588
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7743
Cross-validation details (10-fold Crossvalidation)