Run
137356

Run 137356

Task 3653 (Supervised Classification) triazines Uploaded 31-12-2014 by Joaquin Vanschoren
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Flow

weka.AdaBoostM1_REPTree(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_REPTree(2)_I160
weka.AdaBoostM1_REPTree(2)_P100
weka.AdaBoostM1_REPTree(2)_S1
weka.AdaBoostM1_REPTree(2)_Wweka.classifiers.trees.REPTree
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

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
0.845
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.1594
Cross-validation details (10-fold Crossvalidation)
Build memory
954637702.3226
Cross-validation details (10-fold Crossvalidation)
F measure
0.7835
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5516
Cross-validation details (10-fold Crossvalidation)
KB relative information score
96.7441
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2328
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4854
Cross-validation details (10-fold Crossvalidation)
Number of instances
186
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
0.7837
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7849
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.979
Cross-validation details (10-fold Crossvalidation)
Recall
0.7849
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4796
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4925
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.421
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8547
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
915.3856