Run
503280

Run 503280

Task 10041 (Learning Curve) ada_agnostic Uploaded 28-12-2015 by Jan van Rijn
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Flow

weka.IBk(7)D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
weka.IBk(7)_K10
weka.IBk(7)_W0
weka.IBk(7)_Atrue

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
0.8393 ± 0.0285
Per class
F measure
0.808 ± 0.0132
Per class
Kappa
0.4626 ± 0.0351
KB relative information score
1467.7797 ± 16.2841
Mean absolute error
0.2397 ± 0.0103
Mean prior absolute error
0.3732 ± 0.0004
Number of instances
4562
Per class
OS information
[Oracle Corporation, 1.7.0_79, amd64, Linux, 3.13.0-71-generic]
Precision
0.8084 ± 0.0157
Per class
Predictive accuracy
0.8196 ± 0.0139
Prior entropy
0.8085
Recall
0.8196 ± 0.0139
Per class
Relative absolute error
0.6424 ± 0.0275
Root mean prior squared error
0.4319 ± 0.0005
Root mean squared error
0.3606 ± 0.0142
Root relative squared error
0.8349 ± 0.0329
SciMark benchmark
1844.2951
UserCPU time millis
3660
UserCPU time millis testing
3660