DEVELOPMENT... OpenML
Run
21079

Run 21079

Task 34 (Supervised Classification) postoperative-patient-data Uploaded 18-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_LWL_DecisionStump(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.LWL_DecisionStump(1)_Atrue
weka.LWL_DecisionStump(1)_K-1
weka.LWL_DecisionStump(1)_U0
weka.LWL_DecisionStump(1)_Wweka.classifiers.trees.DecisionStump
weka.MultiBoostAB_LWL_DecisionStump(1)_C3
weka.MultiBoostAB_LWL_DecisionStump(1)_I10
weka.MultiBoostAB_LWL_DecisionStump(1)_P100
weka.MultiBoostAB_LWL_DecisionStump(1)_S1
weka.MultiBoostAB_LWL_DecisionStump(1)_Wweka.classifiers.lazy.LWL

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
0.3964
Per class
F measure
0.5801
Per class
Kappa
-0.0413
KB relative information score
15.9255
Mean absolute error
0.2122
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
0.501
Per class
Predictive accuracy
0.6889
Prior entropy
1.0305
Recall
0.6889
Per class
Relative absolute error
0.7393
Root mean prior squared error
0.3755
Root mean squared error
0.4426
Root relative squared error
1.1788
SciMark benchmark
945.3325[561.75225868521781015.7906865781697483.6674820550281907.70082742804311757.751385454742]

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