Run
85124

Run 85124

Task 7293 (Supervised Classification) Click_prediction_small Uploaded 02-12-2014 by Stephan Oostveen
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Flow

weka.Bagging_CostSensitiveClassifier_ZeroR(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.CostSensitiveClassifier_ZeroR(1)_cost-matrix[0.0 10.0; 100.0 0.0]
weka.CostSensitiveClassifier_ZeroR(1)_S1
weka.CostSensitiveClassifier_ZeroR(1)_Wweka.classifiers.rules.ZeroR
weka.Bagging_CostSensitiveClassifier_ZeroR(1)_P100
weka.Bagging_CostSensitiveClassifier_ZeroR(1)_Otrue
weka.Bagging_CostSensitiveClassifier_ZeroR(1)_S1
weka.Bagging_CostSensitiveClassifier_ZeroR(1)_num-slots8
weka.Bagging_CostSensitiveClassifier_ZeroR(1)_I10
weka.Bagging_CostSensitiveClassifier_ZeroR(1)_Wweka.classifiers.meta.CostSensitiveClassifier
weka.Bagging_CostSensitiveClassifier_ZeroR(1)_output-debug-infotrue

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
0.5
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
8.3206
Cross-validation details (10-fold Crossvalidation)
Build CPU time
1.925
Cross-validation details (10-fold Crossvalidation)
Build memory
1593035099.9714
Cross-validation details (10-fold Crossvalidation)
F measure
0.0483
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-808922.9385
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.6113
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_20, amd64, Windows 7, 6.1]
Precision
0.0282
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.1679
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.653
Cross-validation details (10-fold Crossvalidation)
Recall
0.1679
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
2.1873
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3738
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.624
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.6693
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
600.7502
Total cost
3323930
Cross-validation details (10-fold Crossvalidation)