DEVELOPMENT... OpenML
Run
89043

Run 89043

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; 100.0 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
0.7225
Per class
Average cost
8.6274
F measure
0.7052
Per class
Kappa
0.2096
KB relative information score
-406437.57
Mean absolute error
0.4105
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
0.8002
Per class
Predictive accuracy
0.6645
Prior entropy
0.653
Recall
0.6645
Per class
Relative absolute error
1.469
Root mean prior squared error
0.3738
Root mean squared error
0.4614
Root relative squared error
1.2342
SciMark benchmark
2206.0672
Total cost
3446500
UserCPU time millis
161531.25
UserCPU time millis testing
102625
UserCPU time millis training
58906.25