Run
478200

Run 478200

Task 10054 (Learning Curve) jm1 Uploaded 30-11-2015 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)_K1
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
0.6323 ± 0.0147
Per class
F measure
0.7621 ± 0.0113
Per class
Kappa
0.2263 ± 0.0319
KB relative information score
973.7296 ± 58.198
Mean absolute error
0.2411 ± 0.0136
Mean prior absolute error
0.3121 ± 0.0003
Number of instances
10885
Per class
OS information
[Sun Microsystems Inc., 1.6.0_36, amd64, Linux, 3.5.0-54-generic]
Precision
0.7587 ± 0.0099
Per class
Predictive accuracy
0.7658 ± 0.0133
Prior entropy
0.7088
Recall
0.7658 ± 0.0133
Per class
Relative absolute error
0.7726 ± 0.0441
Root mean prior squared error
0.395 ± 0.0003
Root mean squared error
0.4837 ± 0.0141
Root relative squared error
1.2244 ± 0.0362
SciMark benchmark
1801.8585
UserCPU time millis
9090
UserCPU time millis testing
9080
UserCPU time millis training
10