Run
161755

Run 161755

Task 1742 (Learning Curve) spambase 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
0.9031 ± 0.0096
Per class
F measure
0.9076 ± 0.0087
Per class
Kappa
0.8065 ± 0.0182
KB relative information score
0.8027 ± 0.0188
Mean absolute error
0.0924 ± 0.0088
Mean prior absolute error
0.4776 ± 0.0002
Number of instances
4601
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.16.0-29-generic]
Precision
0.9076 ± 0.009
Per class
Predictive accuracy
0.9076 ± 0.0088
Prior entropy
0.9674 ± 0.0006
Recall
0.9076 ± 0.0088
Per class
Relative absolute error
0.1934 ± 0.0184
Root mean prior squared error
0.4886 ± 0.0002
Root mean squared error
0.3039 ± 0.0145
Root relative squared error
0.622 ± 0.0296
SciMark benchmark
1092.7668
UserCPU time millis
24540
UserCPU time millis testing
24540