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Run
8160

Run 8160

Task 34 (Supervised Classification) postoperative-patient-data Uploaded 22-05-2014 by Felicia West
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Flow

weka.RandomForest(1)Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
weka.RandomForest(1)_I10
weka.RandomForest(1)_K0
weka.RandomForest(1)_S1
weka.RandomForest(1)_num-slots1

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
0.4403
Per class
F measure
0.5654
Per class
Kappa
-0.1
KB relative information score
-3.0646
Mean absolute error
0.2805
Mean prior absolute error
0.2871
Number of instances
90
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5213
Per class
Predictive accuracy
0.6333
Prior entropy
1.0305
Recall
0.6333
Per class
Relative absolute error
0.977
Root mean prior squared error
0.3755
Root mean squared error
0.4328
Root relative squared error
1.1526
SciMark benchmark
911.4208[567.97153489657241015.2555353338006484.3219757802961910.22226140528711579.33286412633]