Run
35367

Run 35367

Task 4354 (Supervised Classification) newton_hema Uploaded 27-10-2014 by Jan van Rijn
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Flow

weka.MultiBoostAB_ADTree(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_C3
weka.MultiBoostAB_ADTree(2)_P100
weka.MultiBoostAB_ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_I10
weka.MultiBoostAB_ADTree(2)_Wweka.classifiers.trees.ADTree

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
0.8417
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Build CPU time
0.0213
Cross-validation details (10 times 10-fold Crossvalidation)
Build memory
73250933.44
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.7713
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.5429
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
758.2172
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.2297
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
1400
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Apple Inc., 1.6.0_65, x86_64, Mac OS X, 10.10]
Precision
0.7719
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.7714
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.7714
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.4594
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.4551
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.9102
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1357.0006
Total cost