Run
110298

Run 110298

Task 2273 (Supervised Classification) meta_batchincremental.arff Uploaded 09-12-2014 by Joaquin Vanschoren
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Flow

weka.AdaBoostM1_IBk(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_IBk(2)_I160
weka.AdaBoostM1_IBk(2)_P100
weka.AdaBoostM1_IBk(2)_S1
weka.AdaBoostM1_IBk(2)_Wweka.classifiers.lazy.IBk
weka.IBk(2)_Atrue
weka.IBk(2)_K1
weka.IBk(2)_W0

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
0.5171
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.0134
Cross-validation details (10-fold Crossvalidation)
Build memory
3185197228.7568
Cross-validation details (10-fold Crossvalidation)
F measure
0.5079
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
-0.0122
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-1.7137
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2507
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2519
Cross-validation details (10-fold Crossvalidation)
Number of instances
74
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5024
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5135
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.3842
Cross-validation details (10-fold Crossvalidation)
Recall
0.5135
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9952
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3504
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4796
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.3687
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
931.9671