Run
297609

Run 297609

Task 80 (Learning Curve) car Uploaded 17-03-2015 by Joaquin Vanschoren
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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
0.7832 ± 0.0298
Per class
F measure
0.7769 ± 0.0257
Per class
Kappa
0.5129 ± 0.055
KB relative information score
0.4646 ± 0.0616
Mean absolute error
0.1122 ± 0.0132
Mean prior absolute error
0.229 ± 0.0006
Number of instances
17280
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7784 ± 0.0265
Per class
Predictive accuracy
0.7755 ± 0.0263
Prior entropy
1.2058 ± 0.0089
Recall
0.7755 ± 0.0263
Per class
Relative absolute error
0.4902 ± 0.0575
Root mean prior squared error
0.3381 ± 0.001
Root mean squared error
0.335 ± 0.0196
Root relative squared error
0.9909 ± 0.058
SciMark benchmark
1357.9528
UserCPU time millis
220
UserCPU time millis testing
220