DEVELOPMENT... OpenML
Run
25148

Run 25148

Task 64 (Learning Curve) labor Uploaded 16-08-2014 by Jason
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Flow

weka.RandomForest(2)Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
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
0.9591 ± 0.0746
Per class
Build CPU time
0.0183
Build memory
321842453.68
F measure
0.8878 ± 0.13
Per class
Kappa
0.7508 ± 0.3151
KB relative information score
0.5612 ± 0.1714
Mean absolute error
0.2176 ± 0.0668
Mean prior absolute error
0.457 ± 0.0208
Number of instances
570
Per class
OS information
[Oracle Corporation, 1.7.0_55, amd64, Linux, 3.8.0-44-generic]
Precision
0.8893 ± 0.1132
Per class
Predictive accuracy
0.8895 ± 0.1283
Prior entropy
0.9349 ± 0.0618
Recall
0.8895 ± 0.1283
Per class
Relative absolute error
0.4761 ± 0.1486
Root mean prior squared error
0.4773 ± 0.0219
Root mean squared error
0.2968 ± 0.0875
Root relative squared error
0.6218 ± 0.1857
SciMark benchmark
1113.0662[660.4470346781724951.5826751851873526.3439797001204896.21881802907472530.738346914427]

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