Run
554992

Run 554992

Task 3942 (Supervised Classification) tumors_C 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

Area under ROC curve
0.5562
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.498
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
-0.125
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-0.7076
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4441
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4565
Cross-validation details (10-fold Crossvalidation)
Number of instances
60
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_77, amd64, Linux, 3.10.0-327.13.1.el7.x86_64]
Precision
0.473
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.55
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9383
Cross-validation details (10-fold Crossvalidation)
Recall
0.55
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9729
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.477
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.6575
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.3784
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1016.3553
UserCPU time millis
22730
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
10
UserCPU time millis training
22720
Cross-validation details (10-fold Crossvalidation)