Run
132718

Run 132718

Task 3811 (Supervised Classification) quake Uploaded 27-12-2014 by Joaquin Vanschoren
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Flow

weka.AdaBoostM1_RandomForest(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_RandomForest(2)_I40
weka.AdaBoostM1_RandomForest(2)_P100
weka.AdaBoostM1_RandomForest(2)_S1
weka.AdaBoostM1_RandomForest(2)_Wweka.classifiers.trees.RandomForest
weka.RandomForest(2)_I100
weka.RandomForest(2)_K0
weka.RandomForest(2)_S1
weka.RandomForest(2)_num-slots1

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
0.5336
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
23.1039
Cross-validation details (10-fold Crossvalidation)
Build memory
1101890830.7622
Cross-validation details (10-fold Crossvalidation)
F measure
0.5348
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0553
Cross-validation details (10-fold Crossvalidation)
KB relative information score
135.4773
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4607
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4939
Cross-validation details (10-fold Crossvalidation)
Number of instances
2178
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
0.5337
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.539
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9912
Cross-validation details (10-fold Crossvalidation)
Recall
0.539
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9327
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.497
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.6695
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.3473
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
920.6725