Run
161796

Run 161796

Task 2102 (Learning Curve) eucalyptus Uploaded 16-02-2015 by Jan van Rijn
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  • study_2 study_37 weka weka_3.7.12
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Flow

weka.IB1(1)D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.

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
0.6892 ± 0.0246
Per class
F measure
0.5139 ± 0.043
Per class
Kappa
0.3747 ± 0.0494
KB relative information score
0.4224 ± 0.0453
Mean absolute error
0.1962 ± 0.0167
Mean prior absolute error
0.3132 ± 0.0002
Number of instances
736
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.16.0-29-generic]
Precision
0.5197 ± 0.0382
Per class
Predictive accuracy
0.5095 ± 0.0417
Prior entropy
2.2621 ± 0.0043
Recall
0.5095 ± 0.0417
Per class
Relative absolute error
0.6264 ± 0.0533
Root mean prior squared error
0.3957 ± 0.0003
Root mean squared error
0.4429 ± 0.0191
Root relative squared error
1.1193 ± 0.0484
SciMark benchmark
1092.7668
UserCPU time millis
250
UserCPU time millis testing
250