DEVELOPMENT... OpenML
Run
89035

Run 89035

Task 7293 (Supervised Classification) Click_prediction_small Uploaded 06-12-2014 by Ashlee Hernandez
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Flow

weka.CostSensitiveClassifier_Bagging_REPTree(1)Weka implementation of CostSensitiveClassifier
weka.Bagging_REPTree(3)_I200
weka.Bagging_REPTree(3)_Otrue
weka.Bagging_REPTree(3)_P100
weka.Bagging_REPTree(3)_S1
weka.Bagging_REPTree(3)_Wweka.classifiers.trees.REPTree
weka.Bagging_REPTree(3)_num-slots2
weka.REPTree(5)_I0.0
weka.REPTree(5)_L-1
weka.REPTree(5)_M2
weka.REPTree(5)_N3
weka.REPTree(5)_S1
weka.REPTree(5)_V0.001
weka.CostSensitiveClassifier_Bagging_REPTree(1)_cost-matrix[0.0 10.0; 1.0 0.0]
weka.CostSensitiveClassifier_Bagging_REPTree(1)_S1
weka.CostSensitiveClassifier_Bagging_REPTree(1)_Wweka.classifiers.meta.Bagging

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
0.7027
Per class
Average cost
16.7486
F measure
0.7569
Per class
Kappa
0.0045
KB relative information score
100217.6201
Mean absolute error
0.1779
Mean prior absolute error
0.2795
Number of instances
399482
Per class
OS information
[Oracle Corporation, 1.8.0_25, amd64, Windows 8.1, 6.3]
Precision
0.8535
Per class
Predictive accuracy
0.8325
Prior entropy
0.653
Recall
0.8325
Per class
Relative absolute error
0.6367
Root mean prior squared error
0.3738
Root mean squared error
0.3955
Root relative squared error
1.0581
SciMark benchmark
2206.0672
Total cost
6690780
UserCPU time millis
21000
UserCPU time millis testing
14109.375
UserCPU time millis training
6890.625