Run
88949

Run 88949

Task 7293 (Supervised Classification) Click_prediction_small Uploaded 04-12-2014 by Richie Brondenstein
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.Bagging_REPTree(3)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_REPTree(3)_I10
weka.Bagging_REPTree(3)_P100
weka.Bagging_REPTree(3)_S1
weka.Bagging_REPTree(3)_Wweka.classifiers.trees.REPTree
weka.Bagging_REPTree(3)_num-slots1
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)_V0.0010

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
0.7041
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
14.8854
Cross-validation details (10-fold Crossvalidation)
Build CPU time
194.9851
Cross-validation details (10-fold Crossvalidation)
Build memory
1436952135.5934
Cross-validation details (10-fold Crossvalidation)
F measure
0.7901
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1504
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-5593.3688
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2456
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
[Sun Microsystems Inc., 1.6.0_45, amd64, Windows 8, 6.2]
Precision
0.7985
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8363
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.653
Cross-validation details (10-fold Crossvalidation)
Recall
0.8363
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8789
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3738
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3576
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9567
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1262.313
Total cost
5946430
Cross-validation details (10-fold Crossvalidation)