Run
161735

Run 161735

Task 1719 (Learning Curve) mfeat-pixel 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
0.9794 ± 0.0094
Per class
F measure
0.9628 ± 0.017
Per class
Kappa
0.9589 ± 0.0187
KB relative information score
0.9613 ± 0.0176
Mean absolute error
0.0074 ± 0.0034
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.16.0-29-generic]
Precision
0.9635 ± 0.0163
Per class
Predictive accuracy
0.963 ± 0.0169
Prior entropy
3.3219
Recall
0.963 ± 0.0169
Per class
Relative absolute error
0.0411 ± 0.0187
Root mean prior squared error
0.3
Root mean squared error
0.086 ± 0.0194
Root relative squared error
0.2867 ± 0.0648
SciMark benchmark
1060.8407
UserCPU time millis
29110
UserCPU time millis testing
29110