Run
421667

Run 421667

Task 7293 (Supervised Classification) Click_prediction_small Uploaded 08-05-2015 by Jos Mangnus
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Flow

weka.RandomSubSpace_REPTree(2)Tin Kam Ho (1998). The Random Subspace Method for Constructing Decision Forests. IEEE Transactions on Pattern Analysis and Machine Intelligence. 20(8):832-844. URL http://citeseer.ist.psu.edu/ho98random.html.
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.RandomSubSpace_REPTree(2)_P0.5
weka.RandomSubSpace_REPTree(2)_S1
weka.RandomSubSpace_REPTree(2)_num-slots1
weka.RandomSubSpace_REPTree(2)_I10
weka.RandomSubSpace_REPTree(2)_Wweka.classifiers.trees.REPTree

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
0.7198
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
15.861
Cross-validation details (10-fold Crossvalidation)
Build CPU time
123.174
Cross-validation details (10-fold Crossvalidation)
Build memory
1062501838.8522
Cross-validation details (10-fold Crossvalidation)
F measure
0.7759
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0842
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1337.7224
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2576
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_31, amd64, Windows 8.1, 6.3]
Precision
0.8197
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.838
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.653
Cross-validation details (10-fold Crossvalidation)
Recall
0.838
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9219
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3738
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.355
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9496
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
654.1125
Total cost
6336180
Cross-validation details (10-fold Crossvalidation)