Run
1812469

Run 1812469

Task 1711 (Learning Curve) mfeat-factors 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
0.9957 ± 0.0036
Per class
F measure
0.9614 ± 0.0154
Per class
Kappa
0.9572 ± 0.017
KB relative information score
1904.5787 ± 2.4594
Mean absolute error
0.014 ± 0.0027
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Oracle Corporation, 1.8.0_91, amd64, Linux, 3.10.0-327.22.2.el7.x86_64]
Precision
0.9618 ± 0.0147
Per class
Predictive accuracy
0.9615 ± 0.0153
Prior entropy
3.3219
Recall
0.9615 ± 0.0153
Per class
Relative absolute error
0.0779 ± 0.0151
Root mean prior squared error
0.3
Root mean squared error
0.079 ± 0.0132
Root relative squared error
0.2633 ± 0.044
SciMark benchmark
1522.8617
UserCPU time millis
7440
UserCPU time millis testing
7440