Run
122268

Run 122268

Task 3916 (Supervised Classification) kc1-binary Uploaded 14-12-2014 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
0.7365
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
69.3135
Cross-validation details (10-fold Crossvalidation)
Build memory
58541604.1379
Cross-validation details (10-fold Crossvalidation)
F measure
0.7451
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4753
Cross-validation details (10-fold Crossvalidation)
KB relative information score
67.6719
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2554
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4853
Cross-validation details (10-fold Crossvalidation)
Number of instances
145
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
0.7455
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7448
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.979
Cross-validation details (10-fold Crossvalidation)
Recall
0.7448
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5263
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4925
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5052
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0257
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
937.5757