Run
77003

Run 77003

Task 7293 (Supervised Classification) Click_prediction_small Uploaded 01-12-2014 by Koen Engelen
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Flow

weka.AdaBoostM1_DecisionStump(2)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(2)_I10
weka.AdaBoostM1_DecisionStump(2)_P100
weka.AdaBoostM1_DecisionStump(2)_S1
weka.AdaBoostM1_DecisionStump(2)_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.

21 Evaluation measures

Area under ROC curve
0.6454
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
16.794
Cross-validation details (10-fold Crossvalidation)
Build CPU time
24.2984
Cross-validation details (10-fold Crossvalidation)
Build memory
927983349.7702
Cross-validation details (10-fold Crossvalidation)
F measure
0.7558
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-32080.1183
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2709
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2795
Cross-validation details (10-fold Crossvalidation)
Number of instances
399482
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_25, amd64, Windows 8.1, 6.3]
Precision
0.6923
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8321
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.653
Cross-validation details (10-fold Crossvalidation)
Recall
0.8321
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9692
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3738
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3667
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9809
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1840.761
Total cost
6708900
Cross-validation details (10-fold Crossvalidation)