Run
204771

Run 204771

Task 4601 (Supervised Classification) ada_agnostic 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)_I10
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
0.8544
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.8174
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.4867
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
15272.8113
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.2416
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.3732
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
45620
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
0.821
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.8302
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.8085
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.8302
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.6474
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4319
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.3505
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.8116
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
943.1756
UserCPU time millis
350
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
10
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
340
Cross-validation details (10 times 10-fold Crossvalidation)