DEVELOPMENT... OpenML
Run
131283

Run 131283

Task 3544 (Supervised Classification) analcatdata_broadwaymult 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
0.6518
Per class
Build CPU time
0.0775
Build memory
64788137.0386
F measure
0.2942
Per class
Kappa
0.0565
KB relative information score
44.487
Mean absolute error
0.2062
Mean prior absolute error
0.2203
Number of instances
285
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.2682
Per class
Predictive accuracy
0.3509
Prior entropy
2.4897
Recall
0.3509
Per class
Relative absolute error
0.9358
Root mean prior squared error
0.3314
Root mean squared error
0.3327
Root relative squared error
1.0039
SciMark benchmark
941.6106