Run
467879

Run 467879

Task 4367 (Supervised Classification) fri_c4_1000_50 Uploaded 22-07-2015 by Joaquin Vanschoren
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Flow

weka.Bagging_REPTree(8)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.REPTree(9)_M2
weka.REPTree(9)_V0.001
weka.REPTree(9)_N3
weka.REPTree(9)_S1
weka.REPTree(9)_L-1
weka.REPTree(9)_I0.0
weka.Bagging_REPTree(8)_P100
weka.Bagging_REPTree(8)_S1
weka.Bagging_REPTree(8)_num-slots1
weka.Bagging_REPTree(8)_I10
weka.Bagging_REPTree(8)_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.

22 Evaluation measures

Area under ROC curve
0.9454
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.8796
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.7558
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
6316.9921
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.1954
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4928
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
10000
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8797
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.8796
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9896
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.8796
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.3964
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4964
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.2995
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.6034
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
941.6675
UserCPU time millis
300
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
10
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
290
Cross-validation details (10 times 10-fold Crossvalidation)