Run
503395

Run 503395

Task 1742 (Learning Curve) spambase Uploaded 28-12-2015 by Jan van Rijn
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Flow

weka.ADTree(7)Freund, Y., Mason, L.: The alternating decision tree learning algorithm. In: Proceeding of the Sixteenth International Conference on Machine Learning, Bled, Slovenia, 124-133, 1999.
weka.ADTree(7)_B10
weka.ADTree(7)_E-3
weka.ADTree(7)_S1

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
0.9709 ± 0.0076
Per class
F measure
0.9214 ± 0.0124
Per class
Kappa
0.835 ± 0.0261
KB relative information score
3014.6644 ± 10.4456
Mean absolute error
0.183 ± 0.0107
Mean prior absolute error
0.4776 ± 0.0002
Number of instances
4601
Per class
OS information
[Sun Microsystems Inc., 1.6.0_37, amd64, Linux, 3.5.0-54-generic]
Precision
0.9214 ± 0.0124
Per class
Predictive accuracy
0.9215 ± 0.0123
Prior entropy
0.9674
Recall
0.9215 ± 0.0123
Per class
Relative absolute error
0.3833 ± 0.0225
Root mean prior squared error
0.4886 ± 0.0002
Root mean squared error
0.2611 ± 0.0122
Root relative squared error
0.5342 ± 0.0251
SciMark benchmark
1317.3998
UserCPU time millis
1270
UserCPU time millis training
1270