DEVELOPMENT... OpenML
Run
77656

Run 77656

Task 270 (Supervised Classification) glass Uploaded 01-12-2014 by Felicia West
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Flow

weka.Bagging_RandomForest(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_RandomForest(2)_I80
weka.Bagging_RandomForest(2)_P100
weka.Bagging_RandomForest(2)_S1
weka.Bagging_RandomForest(2)_Wweka.classifiers.trees.RandomForest
weka.Bagging_RandomForest(2)_num-slots1
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
0.9204
Per class
Build CPU time
3.308
Build memory
2628120128
F measure
0.7413
Per class
Kappa
0.646
KB relative information score
40.8111
Mean absolute error
0.1206
Mean prior absolute error
0.2127
Number of instances
70
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7549
Per class
Predictive accuracy
0.7429
Prior entropy
2.2315
Recall
0.7429
Per class
Relative absolute error
0.5668
Root mean prior squared error
0.3261
Root mean squared error
0.236
Root relative squared error
0.7237
SciMark benchmark
939.4881