Run
206387

Run 206387

Task 1891 (Supervised Classification) balance-scale Uploaded 27-02-2015 by Joaquin Vanschoren
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Flow

weka.AdaBoostM1_DecisionStump(12)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(12)_P100
weka.AdaBoostM1_DecisionStump(12)_S1
weka.AdaBoostM1_DecisionStump(12)_I40
weka.AdaBoostM1_DecisionStump(12)_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
0.8808
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.688
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.4757
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
1542.3335
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.3115
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.3798
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
6250
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.661
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.7173
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
1.3212
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.7173
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.8203
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4356
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.3597
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.8258
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
935.5075
UserCPU time millis
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10 times 10-fold Crossvalidation)