Run
503417

Run 503417

Task 10066 (Learning Curve) letter-challenge-unlabeled.arff 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
0.7114 ± 0.0093
Per class
F measure
0.8216 ± 0.0152
Per class
Kappa
0.5594 ± 0.0396
KB relative information score
2983.2883 ± 23.0783
Mean absolute error
0.2743 ± 0.0067
Mean prior absolute error
0.3997 ± 0.0027
Number of instances
10000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_37, amd64, Linux, 3.5.0-54-generic]
Precision
0.8246 ± 0.0164
Per class
Predictive accuracy
0.8195 ± 0.0148
Prior entropy
0.85
Recall
0.8195 ± 0.0148
Per class
Relative absolute error
0.6863 ± 0.0178
Root mean prior squared error
0.447 ± 0.0031
Root mean squared error
0.352 ± 0.0065
Root relative squared error
0.7875 ± 0.016
SciMark benchmark
1674.9818
UserCPU time millis
610
UserCPU time millis testing
10
UserCPU time millis training
600