Run
54132

Run 54132

Task 1757 (Learning Curve) waveform-5000 Uploaded 08-11-2014 by Jan van Rijn
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  • curves 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
0.969 ± 0.0048
Per class
Build CPU time
4.8326
Build memory
1826969774
F measure
0.8551 ± 0.0116
Per class
Kappa
0.7838 ± 0.0173
KB relative information score
0.6512 ± 0.0114
Mean absolute error
0.1955 ± 0.0053
Mean prior absolute error
0.4444 ± 0
Number of instances
5000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8575 ± 0.0127
Per class
Predictive accuracy
0.8558 ± 0.0115
Prior entropy
1.5849 ± 0
Recall
0.8558 ± 0.0115
Per class
Relative absolute error
0.4399 ± 0.0119
Root mean prior squared error
0.4714 ± 0
Root mean squared error
0.2769 ± 0.0069
Root relative squared error
0.5873 ± 0.0147
SciMark benchmark
1615.5755