Run
154896

Run 154896

Task 2098 (Learning Curve) abalone 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.

20 Evaluation measures

Area under ROC curve
0.737 ± 0.0105
Per class
Kappa
0.1335 ± 0.0202
KB relative information score
0.2527 ± 0.0109
Mean absolute error
0.0555 ± 0.0003
Mean prior absolute error
0.0618 ± 0
Number of instances
4177
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Predictive accuracy
0.2346 ± 0.0182
Prior entropy
3.6031 ± 0.0188
Recall
0.2346 ± 0.0182
Per class
Relative absolute error
0.8985 ± 0.0053
Root mean prior squared error
0.1757 ± 0
Root mean squared error
0.1719 ± 0.001
Root relative squared error
0.9783 ± 0.006
SciMark benchmark
639.2945
UserCPU time millis
6730
UserCPU time millis testing
590
UserCPU time millis training
6140