Run
161737

Run 161737

Task 1721 (Learning Curve) mfeat-zernike 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
0.8828 ± 0.0077
Per class
F measure
0.791 ± 0.0113
Per class
Kappa
0.7656 ± 0.0154
KB relative information score
0.7793 ± 0.0145
Mean absolute error
0.0422 ± 0.0028
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
0.7941 ± 0.0093
Per class
Predictive accuracy
0.789 ± 0.0139
Prior entropy
3.3219
Recall
0.789 ± 0.0139
Per class
Relative absolute error
0.2344 ± 0.0154
Root mean prior squared error
0.3
Root mean squared error
0.2054 ± 0.0067
Root relative squared error
0.6848 ± 0.0225
SciMark benchmark
1060.8407
UserCPU time millis
4010
UserCPU time millis testing
4010