Run
110953

Run 110953

Task 3539 (Supervised Classification) prnn_crabs Uploaded 09-12-2014 by Joaquin Vanschoren
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Flow

weka.AdaBoostM1_J48(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_J48(2)_I160
weka.AdaBoostM1_J48(2)_P100
weka.AdaBoostM1_J48(2)_S1
weka.AdaBoostM1_J48(2)_Wweka.classifiers.trees.J48
weka.J48(3)_C0.25
weka.J48(3)_M2

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
0.9346
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.2561
Cross-validation details (10-fold Crossvalidation)
Build memory
896709332
Cross-validation details (10-fold Crossvalidation)
F measure
0.935
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.87
Cross-validation details (10-fold Crossvalidation)
KB relative information score
173.9999
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.065
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10-fold Crossvalidation)
Number of instances
200
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
0.9354
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.935
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.935
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.13
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.255
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5099
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
890.3066