Run
297612

Run 297612

Task 73 (Learning Curve) mfeat-fourier Uploaded 17-03-2015 by Joaquin Vanschoren
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Flow

weka.IB1(1)D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.

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
0.8888 ± 0.0126
Per class
F measure
0.8012 ± 0.0229
Per class
Kappa
0.7776 ± 0.0252
KB relative information score
0.7907 ± 0.0237
Mean absolute error
0.04 ± 0.0045
Mean prior absolute error
0.18
Number of instances
20000
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8043 ± 0.0224
Per class
Predictive accuracy
0.7999 ± 0.0227
Prior entropy
3.3219
Recall
0.7999 ± 0.0227
Per class
Relative absolute error
0.2224 ± 0.0252
Root mean prior squared error
0.3
Root mean squared error
0.2001 ± 0.0115
Root relative squared error
0.6669 ± 0.0382
SciMark benchmark
1327.0519
UserCPU time millis
5190
UserCPU time millis testing
5190