DEVELOPMENT... OpenML
Run
131138

Run 131138

Task 1773 (Supervised Classification) autos Uploaded 25-12-2014 by Felicia West
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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)_I160
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
0.9287
Per class
Build CPU time
0.0566
Build memory
766804292.9327
F measure
0.7481
Per class
Kappa
0.6739
KB relative information score
591.9702
Mean absolute error
0.1214
Mean prior absolute error
0.2209
Number of instances
1025
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7504
Per class
Predictive accuracy
0.7502
Prior entropy
2.3268
Recall
0.7502
Per class
Relative absolute error
0.5493
Root mean prior squared error
0.3318
Root mean squared error
0.2275
Root relative squared error
0.6858
SciMark benchmark
937.5757

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