Run
503276

Run 503276

Task 1730 (Learning Curve) credit-g 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
0.7485 ± 0.0384
Per class
F measure
0.6952 ± 0.0276
Per class
Kappa
0.2434 ± 0.0676
KB relative information score
189.4029 ± 2.3806
Mean absolute error
0.3339 ± 0.0079
Mean prior absolute error
0.4202
Number of instances
1000
Per class
OS information
[Oracle Corporation, 1.7.0_79, amd64, Linux, 3.13.0-71-generic]
Precision
0.7202 ± 0.0387
Per class
Predictive accuracy
0.737 ± 0.0211
Prior entropy
0.8818
Recall
0.737 ± 0.0211
Per class
Relative absolute error
0.7948 ± 0.0188
Root mean prior squared error
0.4583
Root mean squared error
0.4184 ± 0.0137
Root relative squared error
0.913 ± 0.03
SciMark benchmark
1631.9523
UserCPU time millis
230
UserCPU time millis testing
230