Run
207512

Run 207512

Task 4617 (Supervised Classification) ar5 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
0.8587
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.8309
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.512
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
155.5429
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.1714
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.3538
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
360
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
0.8313
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.8306
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.7897
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.8306
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.4844
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.416
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.4016
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.9653
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
942.9518
UserCPU time millis
10
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
10
Cross-validation details (10 times 10-fold Crossvalidation)