Run
212123

Run 212123

Task 4651 (Supervised Classification) KDDCup09_churn Uploaded 28-02-2015 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)_I160
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
0.7265
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.8916
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.0049
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
-181523.6611
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.1277
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.1361
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
500000
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
0.8875
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.9264
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.3787
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.9264
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.9386
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.2609
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.2535
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.9719
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
938.343
UserCPU time millis
648860
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
430
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
648430
Cross-validation details (10 times 10-fold Crossvalidation)