Run
553436

Run 553436

Task 3812 (Supervised Classification) arsenic-female-bladder Uploaded 09-04-2016 by Martijn Post
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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
0.7941
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8336
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2173
Cross-validation details (10-fold Crossvalidation)
KB relative information score
12.6009
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1903
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2462
Cross-validation details (10-fold Crossvalidation)
Number of instances
559
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_66, amd64, Windows 10, 10.0]
Precision
0.8643
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.873
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.5956
Cross-validation details (10-fold Crossvalidation)
Recall
0.873
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.773
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3502
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3146
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8984
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1788.6668
UserCPU time millis
46.875
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
46.875
Cross-validation details (10-fold Crossvalidation)