Run
503371

Run 503371

Task 10059 (Learning Curve) ipums_la_99-small Uploaded 28-12-2015 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.NBTree(6)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
0.7345 ± 0.0286
Per class
F measure
0.9139 ± 0.0052
Per class
Kappa
0.1488 ± 0.0581
KB relative information score
1345.2092 ± 34.4311
Mean absolute error
0.0702 ± 0.003
Mean prior absolute error
0.1203 ± 0.0004
Number of instances
8844
Per class
OS information
[Sun Microsystems Inc., 1.6.0_37, amd64, Linux, 3.5.0-54-generic]
Precision
0.9073 ± 0.0087
Per class
Predictive accuracy
0.9325 ± 0.0032
Prior entropy
0.3444
Recall
0.9325 ± 0.0032
Per class
Relative absolute error
0.5836 ± 0.0252
Root mean prior squared error
0.2452 ± 0.0008
Root mean squared error
0.2523 ± 0.0063
Root relative squared error
1.029 ± 0.0266
SciMark benchmark
1674.9818
UserCPU time millis
24770
UserCPU time millis testing
80
UserCPU time millis training
24690