DEVELOPMENT... OpenML
Run
24349

Run 24349

Task 34 (Supervised Classification) postoperative-patient-data Uploaded 04-07-2014 by Felicia West
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Flow

weka.MultiBoostAB_LMT(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.LMT(1)_I-1
weka.LMT(1)_M15
weka.LMT(1)_W0.0
weka.MultiBoostAB_LMT(1)_C3
weka.MultiBoostAB_LMT(1)_I80
weka.MultiBoostAB_LMT(1)_P100
weka.MultiBoostAB_LMT(1)_S1
weka.MultiBoostAB_LMT(1)_Wweka.classifiers.trees.LMT

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
0.4113
Per class
F measure
0.5286
Per class
Kappa
-0.1779
KB relative information score
-3.1946
Mean absolute error
0.2764
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
0.4971
Per class
Predictive accuracy
0.5667
Prior entropy
1.0305
Recall
0.5667
Per class
Relative absolute error
0.9629
Root mean prior squared error
0.3755
Root mean squared error
0.4909
Root relative squared error
1.3074
SciMark benchmark
896.0821[537.1852945089609962.0344422444904457.88563364596456862.31580029432141660.9894026522275]