DEVELOPMENT... OpenML
Run
133362

Run 133362

Task 3859 (Supervised Classification) prnn_fglass 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
0.8947
Per class
Build CPU time
0.055
Build memory
1083539875.8505
F measure
0.8263
Per class
Kappa
0.6191
KB relative information score
98.5947
Mean absolute error
0.2567
Mean prior absolute error
0.4584
Number of instances
214
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8258
Per class
Predictive accuracy
0.8271
Prior entropy
0.9397
Recall
0.8271
Per class
Relative absolute error
0.56
Root mean prior squared error
0.4786
Root mean squared error
0.3502
Root relative squared error
0.7318
SciMark benchmark
943.8094