Run
131699

Run 131699

Task 253 (Supervised Classification) cmc Uploaded 26-12-2014 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)_I80
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
0.6552
Per class
Cross-validation details (33% Holdout set)
Build CPU time
6.562
Cross-validation details (33% Holdout set)
Build memory
262961584
Cross-validation details (33% Holdout set)
F measure
0.5082
Per class
Cross-validation details (33% Holdout set)
Kappa
0.231
Cross-validation details (33% Holdout set)
KB relative information score
138.7354
Cross-validation details (33% Holdout set)
Mean absolute error
0.3301
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.4292
Cross-validation details (33% Holdout set)
Number of instances
486
Per class
Cross-validation details (33% Holdout set)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5067
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.5103
Cross-validation details (33% Holdout set)
Prior entropy
1.5392
Cross-validation details (33% Holdout set)
Recall
0.5103
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.7692
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.4624
Cross-validation details (33% Holdout set)
Root mean squared error
0.5555
Cross-validation details (33% Holdout set)
Root relative squared error
1.2016
Cross-validation details (33% Holdout set)
SciMark benchmark
942.3945