Run
1812528

Run 1812528

Task 125874 (Learning Curve) autoUniv-au6-1000 Uploaded 17-08-2016 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
0.5112 ± 0.0267
Per class
F measure
0.1525 ± 0.0302
Per class
Kappa
0.0101 ± 0.0395
KB relative information score
86.2779 ± 1.2316
Mean absolute error
0.2133 ± 0.0023
Mean prior absolute error
0.2147 ± 0
Number of instances
1000
Per class
OS information
[Oracle Corporation, 1.8.0_91, amd64, Linux, 3.10.0-327.22.2.el7.x86_64]
Precision
0.1535 ± 0.0365
Per class
Predictive accuracy
0.18 ± 0.032
Prior entropy
2.9228
Recall
0.18 ± 0.032
Per class
Relative absolute error
0.9932 ± 0.0109
Root mean prior squared error
0.3277 ± 0
Root mean squared error
0.3421 ± 0.0034
Root relative squared error
1.0442 ± 0.0104
SciMark benchmark
1397.8864
UserCPU time millis
630
UserCPU time millis testing
630