Run
503396

Run 503396

Task 2094 (Learning Curve) adult 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
0.8917 ± 0.0042
Per class
F measure
0.8327 ± 0.0041
Per class
Kappa
0.5212 ± 0.0141
KB relative information score
9921.2008 ± 28.84
Mean absolute error
0.2801 ± 0.0016
Mean prior absolute error
0.3641 ± 0
Number of instances
48842
Per class
OS information
[Sun Microsystems Inc., 1.6.0_37, amd64, Linux, 3.5.0-54-generic]
Precision
0.8331 ± 0.0039
Per class
Predictive accuracy
0.8417 ± 0.0035
Prior entropy
0.7939
Recall
0.8417 ± 0.0035
Per class
Relative absolute error
0.7693 ± 0.0044
Root mean prior squared error
0.4266 ± 0.0001
Root mean squared error
0.342 ± 0.0017
Root relative squared error
0.8017 ± 0.004
SciMark benchmark
1317.3998
UserCPU time millis
2740
UserCPU time millis testing
50
UserCPU time millis training
2690