Run
154866

Run 154866

Task 1714 (Learning Curve) breast-w Uploaded 10-02-2015 by Jan van Rijn
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  • study_2 study_37 weka weka_3.7.12
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Flow

weka.RandomForest(5)Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
weka.RandomForest(5)_I100
weka.RandomForest(5)_K0
weka.RandomForest(5)_S1
weka.RandomForest(5)_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.

22 Evaluation measures

Area under ROC curve
0.991 ± 0.0086
Per class
F measure
0.9657 ± 0.0262
Per class
Kappa
0.9242 ± 0.0582
KB relative information score
0.8773 ± 0.0472
Mean absolute error
0.0599 ± 0.0198
Mean prior absolute error
0.4519 ± 0.0014
Number of instances
699
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9657 ± 0.0261
Per class
Predictive accuracy
0.9657 ± 0.0262
Prior entropy
0.9293 ± 0.0043
Recall
0.9657 ± 0.0262
Per class
Relative absolute error
0.1325 ± 0.0438
Root mean prior squared error
0.4753 ± 0.0015
Root mean squared error
0.1657 ± 0.0474
Root relative squared error
0.3486 ± 0.0995
SciMark benchmark
639.2945
UserCPU time millis
180
UserCPU time millis testing
20
UserCPU time millis training
160