Run
297608

Run 297608

Task 77 (Learning Curve) mfeat-morphological 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
0.8101 ± 0.0153
Per class
F measure
0.6595 ± 0.0267
Per class
Kappa
0.6202 ± 0.0305
KB relative information score
0.6426 ± 0.0288
Mean absolute error
0.0684 ± 0.0055
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
0.661 ± 0.0268
Per class
Predictive accuracy
0.6582 ± 0.0275
Prior entropy
3.3219
Recall
0.6582 ± 0.0275
Per class
Relative absolute error
0.3798 ± 0.0305
Root mean prior squared error
0.3
Root mean squared error
0.2615 ± 0.0105
Root relative squared error
0.8715 ± 0.0349
SciMark benchmark
1357.9528
UserCPU time millis
570
UserCPU time millis testing
570