Run
161746

Run 161746

Task 1728 (Learning Curve) credit-approval 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
0.8083 ± 0.067
Per class
F measure
0.8125 ± 0.0645
Per class
Kappa
0.6197 ± 0.1309
KB relative information score
0.6195 ± 0.1295
Mean absolute error
0.187 ± 0.0635
Mean prior absolute error
0.494 ± 0.0008
Number of instances
690
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.16.0-29-generic]
Precision
0.8127 ± 0.0629
Per class
Predictive accuracy
0.813 ± 0.0635
Prior entropy
0.9912 ± 0.0022
Recall
0.813 ± 0.0635
Per class
Relative absolute error
0.3785 ± 0.1287
Root mean prior squared error
0.497 ± 0.0008
Root mean squared error
0.4324 ± 0.0759
Root relative squared error
0.8701 ± 0.1529
SciMark benchmark
1060.8407
UserCPU time millis
200
UserCPU time millis testing
200