DEVELOPMENT... OpenML
Run
155361

Run 155361

Task 1730 (Learning Curve) credit-g Uploaded 11-02-2015 by Jason
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  • study_2 study_37 weka weka_3.7.12
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Flow

weka.NBTree(3)Ron Kohavi: Scaling Up the Accuracy of Naive-Bayes Classifiers: A Decision-Tree Hybrid. In: Second International Conference on Knoledge Discovery and Data Mining, 202-207, 1996.

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
0.7755 ± 0.0379
Per class
F measure
0.733 ± 0.0312
Per class
Kappa
0.3513 ± 0.0747
KB relative information score
0.2445 ± 0.0577
Mean absolute error
0.3071 ± 0.0218
Mean prior absolute error
0.4202
Number of instances
1000
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7297 ± 0.0315
Per class
Predictive accuracy
0.74 ± 0.0316
Prior entropy
0.8813
Recall
0.74 ± 0.0316
Per class
Relative absolute error
0.731 ± 0.0519
Root mean prior squared error
0.4583
Root mean squared error
0.4213 ± 0.0213
Root relative squared error
0.9193 ± 0.0465
SciMark benchmark
646.4525
UserCPU time millis
430
UserCPU time millis testing
20
UserCPU time millis training
410

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