DEVELOPMENT... OpenML
Run
133006

Run 133006

Task 2273 (Supervised Classification) meta_batchincremental.arff Uploaded 27-12-2014 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)_I20
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
0.7088
Per class
Build CPU time
0.0486
Build memory
1555091933.2973
F measure
0.598
Per class
Kappa
0.1552
KB relative information score
10.0869
Mean absolute error
0.2124
Mean prior absolute error
0.2519
Number of instances
74
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5654
Per class
Predictive accuracy
0.6351
Prior entropy
1.3842
Recall
0.6351
Per class
Relative absolute error
0.8433
Root mean prior squared error
0.3504
Root mean squared error
0.3388
Root relative squared error
0.9668
SciMark benchmark
945.5885