Run
478101

Run 478101

Task 1764 (Learning Curve) electricity 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
0.7881 ± 0.0052
Per class
F measure
0.793 ± 0.0052
Per class
Kappa
0.5764 ± 0.0105
KB relative information score
25927.7603 ± 48.6782
Mean absolute error
0.2069 ± 0.0052
Mean prior absolute error
0.4886 ± 0
Number of instances
45312
Per class
OS information
[Sun Microsystems Inc., 1.6.0_36, amd64, Linux, 3.5.0-54-generic]
Precision
0.793 ± 0.0051
Per class
Predictive accuracy
0.7931 ± 0.0052
Prior entropy
0.9835
Recall
0.7931 ± 0.0052
Per class
Relative absolute error
0.4235 ± 0.0107
Root mean prior squared error
0.4943 ± 0
Root mean squared error
0.4549 ± 0.0057
Root relative squared error
0.9203 ± 0.0115
SciMark benchmark
1801.8585
UserCPU time millis
76440
UserCPU time millis testing
76440