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Run
21750

Run 21750

Task 54 (Supervised Classification) hepatitis Uploaded 19-06-2014 by Felicia West
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Flow

weka.ADTree(1)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(1)_B10
weka.ADTree(1)_E-3

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.7895
Per class
F measure
0.7696
Per class
Kappa
0.2556
KB relative information score
17.9703
Mean absolute error
0.2563
Mean prior absolute error
0.3299
Number of instances
155
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7616
Per class
Predictive accuracy
0.7871
Prior entropy
0.7418
Recall
0.7871
Per class
Relative absolute error
0.777
Root mean prior squared error
0.4048
Root mean squared error
0.3865
Root relative squared error
0.9547
SciMark benchmark
914.0292[563.9316768738721958.6840881307085422.4003936411174901.76819969685491723.3616525539023]