Run
161734

Run 161734

Task 1717 (Learning Curve) mfeat-morphological Uploaded 16-02-2015 by Jan van Rijn
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  • study_2 study_37 weka weka_3.7.12
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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
0.8117 ± 0.0154
Per class
F measure
0.6625 ± 0.0278
Per class
Kappa
0.6233 ± 0.0309
KB relative information score
0.6455 ± 0.029
Mean absolute error
0.0678 ± 0.0056
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.16.0-29-generic]
Precision
0.6641 ± 0.0294
Per class
Predictive accuracy
0.661 ± 0.0278
Prior entropy
3.3219
Recall
0.661 ± 0.0278
Per class
Relative absolute error
0.3767 ± 0.0309
Root mean prior squared error
0.3
Root mean squared error
0.2604 ± 0.0108
Root relative squared error
0.8679 ± 0.0359
SciMark benchmark
1060.8407
UserCPU time millis
580
UserCPU time millis testing
580