DEVELOPMENT... OpenML
Run
78103

Run 78103

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)_I160
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
0.9206
Per class
Build CPU time
6.825
Build memory
387204776
F measure
0.7561
Per class
Kappa
0.6672
KB relative information score
40.4506
Mean absolute error
0.1215
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
0.7678
Per class
Predictive accuracy
0.7571
Prior entropy
2.2315
Recall
0.7571
Per class
Relative absolute error
0.5715
Root mean prior squared error
0.3261
Root mean squared error
0.2369
Root relative squared error
0.7264
SciMark benchmark
936.6824

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