Run
119914

Run 119914

Task 3798 (Supervised Classification) fri_c1_250_10 Uploaded 10-12-2014 by Joaquin Vanschoren
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Flow

weka.AdaBoostM1_LMT(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_LMT(2)_I10
weka.AdaBoostM1_LMT(2)_P100
weka.AdaBoostM1_LMT(2)_S1
weka.AdaBoostM1_LMT(2)_Wweka.classifiers.trees.LMT
weka.LMT(2)_I-1
weka.LMT(2)_M15
weka.LMT(2)_W0.0

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
0.9559
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.9288
Cross-validation details (10-fold Crossvalidation)
Build memory
1438580166.4
Cross-validation details (10-fold Crossvalidation)
F measure
0.8958
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7881
Cross-validation details (10-fold Crossvalidation)
KB relative information score
188.7754
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.121
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4929
Cross-validation details (10-fold Crossvalidation)
Number of instances
250
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
0.896
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.896
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9898
Cross-validation details (10-fold Crossvalidation)
Recall
0.896
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2456
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4964
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3133
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6311
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
874.7324