DEVELOPMENT... OpenML
Run
131732

Run 131732

Task 1766 (Supervised Classification) anneal Uploaded 26-12-2014 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)_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
0.9299
Per class
Build CPU time
5.101
Build memory
491882221.6
F measure
0.927
Per class
Kappa
0.8133
KB relative information score
3405.0972
Mean absolute error
0.0331
Mean prior absolute error
0.1343
Number of instances
4490
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9273
Per class
Predictive accuracy
0.9285
Prior entropy
1.2149
Recall
0.9285
Per class
Relative absolute error
0.2466
Root mean prior squared error
0.2582
Root mean squared error
0.1475
Root relative squared error
0.5713
SciMark benchmark
942.3945