Run
122106

Run 122106

Task 3739 (Supervised Classification) analcatdata_chlamydia Uploaded 13-12-2014 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)_I160
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
0.8798
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
6.7427
Cross-validation details (10-fold Crossvalidation)
Build memory
1476640197.6
Cross-validation details (10-fold Crossvalidation)
F measure
0.9293
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7679
Cross-validation details (10-fold Crossvalidation)
KB relative information score
72.1365
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.07
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3116
Cross-validation details (10-fold Crossvalidation)
Number of instances
100
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
0.9288
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.93
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.714
Cross-validation details (10-fold Crossvalidation)
Recall
0.93
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2247
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3923
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2646
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6743
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
947.7459