Run
161758

Run 161758

Task 1752 (Learning Curve) vehicle 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
0.7898 ± 0.0243
Per class
F measure
0.6821 ± 0.0378
Per class
Kappa
0.5806 ± 0.0491
KB relative information score
0.6212 ± 0.0446
Mean absolute error
0.1572 ± 0.0184
Mean prior absolute error
0.3748 ± 0
Number of instances
846
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.16.0-29-generic]
Precision
0.6791 ± 0.0407
Per class
Predictive accuracy
0.6856 ± 0.0367
Prior entropy
1.9991 ± 0.0005
Recall
0.6856 ± 0.0367
Per class
Relative absolute error
0.4194 ± 0.049
Root mean prior squared error
0.4329 ± 0
Root mean squared error
0.3965 ± 0.0241
Root relative squared error
0.9159 ± 0.0557
SciMark benchmark
1060.8407
UserCPU time millis
280
UserCPU time millis testing
280