DEVELOPMENT... OpenML
Run
47248

Run 47248

Task 1711 (Learning Curve) mfeat-factors Uploaded 05-11-2014 by Jason
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  • study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.Bagging_RandomForest(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_RandomForest(2)_I10
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
0.9984 ± 0.001
Per class
Build CPU time
2.7427
Build memory
436524178.6909
F measure
0.967 ± 0.0166
Per class
Kappa
0.9633 ± 0.0184
KB relative information score
0.8827 ± 0.009
Mean absolute error
0.0399 ± 0.0021
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9673 ± 0.0156
Per class
Predictive accuracy
0.967 ± 0.0165
Prior entropy
3.3219
Recall
0.967 ± 0.0165
Per class
Relative absolute error
0.2217 ± 0.0116
Root mean prior squared error
0.3
Root mean squared error
0.1017 ± 0.0058
Root relative squared error
0.339 ± 0.0193
SciMark benchmark
1445.6628