Run
503423

Run 503423

Task 10047 (Learning Curve) Bioresponse 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
0.812 ± 0.022
Per class
F measure
0.7614 ± 0.0252
Per class
Kappa
0.5188 ± 0.0509
KB relative information score
875.8105 ± 7.952
Mean absolute error
0.4 ± 0.0089
Mean prior absolute error
0.4964 ± 0.0001
Number of instances
3751
Per class
OS information
[Sun Microsystems Inc., 1.6.0_37, amd64, Linux, 3.5.0-54-generic]
Precision
0.7615 ± 0.0252
Per class
Predictive accuracy
0.7619 ± 0.025
Prior entropy
0.9948
Recall
0.7619 ± 0.025
Per class
Relative absolute error
0.8057 ± 0.0179
Root mean prior squared error
0.4982 ± 0.0001
Root mean squared error
0.428 ± 0.0093
Root relative squared error
0.859 ± 0.0185
SciMark benchmark
1678.2337
UserCPU time millis
58010
UserCPU time millis testing
10
UserCPU time millis training
58000