Run
555024

Run 555024

Task 3963 (Supervised Classification) AP_Uterus_Kidney Uploaded 12-04-2016 by Jan van Rijn
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  • study_15 study_20 weka weka_3.7.13
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Flow

weka.AdaBoostM1_DecisionStump(14)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_DecisionStump(14)_P100
weka.AdaBoostM1_DecisionStump(14)_S1
weka.AdaBoostM1_DecisionStump(14)_I100
weka.AdaBoostM1_DecisionStump(14)_Wweka.classifiers.trees.DecisionStump

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.

22 Evaluation measures

0.9842
Per class
Cross-validation details (10-fold Crossvalidation)
0.9767
Per class
Cross-validation details (10-fold Crossvalidation)
0.947
Cross-validation details (10-fold Crossvalidation)
361.881
Cross-validation details (10-fold Crossvalidation)
0.0234
Cross-validation details (10-fold Crossvalidation)
0.4376
Cross-validation details (10-fold Crossvalidation)
384
Per class
Cross-validation details (10-fold Crossvalidation)
[Oracle Corporation, 1.8.0_77, amd64, Linux, 3.10.0-327.13.1.el7.x86_64]
0.9772
Per class
Cross-validation details (10-fold Crossvalidation)
0.9766
Cross-validation details (10-fold Crossvalidation)
0.9085
Cross-validation details (10-fold Crossvalidation)
0.9766
Per class
Cross-validation details (10-fold Crossvalidation)
0.0536
Cross-validation details (10-fold Crossvalidation)
0.4676
Cross-validation details (10-fold Crossvalidation)
0.1531
Cross-validation details (10-fold Crossvalidation)
0.3274
Cross-validation details (10-fold Crossvalidation)
1103.7578
170700
Cross-validation details (10-fold Crossvalidation)
20
Cross-validation details (10-fold Crossvalidation)
170680
Cross-validation details (10-fold Crossvalidation)