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Run
16559

Run 16559

Task 34 (Supervised Classification) postoperative-patient-data Uploaded 04-06-2014 by Felicia West
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Flow

weka.Bagging_MultilayerPerceptron(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_MultilayerPerceptron(1)_I20
weka.Bagging_MultilayerPerceptron(1)_P100
weka.Bagging_MultilayerPerceptron(1)_S1
weka.Bagging_MultilayerPerceptron(1)_Wweka.classifiers.functions.MultilayerPerceptron
weka.Bagging_MultilayerPerceptron(1)_num-slots1
weka.MultilayerPerceptron(1)_E20
weka.MultilayerPerceptron(1)_Ha
weka.MultilayerPerceptron(1)_L0.3
weka.MultilayerPerceptron(1)_M0.2
weka.MultilayerPerceptron(1)_N500
weka.MultilayerPerceptron(1)_S0
weka.MultilayerPerceptron(1)_V0

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
0.3948
Per class
F measure
0.5523
Per class
Kappa
-0.1331
KB relative information score
-7.0676
Mean absolute error
0.2918
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
0.5103
Per class
Predictive accuracy
0.6111
Prior entropy
1.0305
Recall
0.6111
Per class
Relative absolute error
1.0165
Root mean prior squared error
0.3755
Root mean squared error
0.4324
Root relative squared error
1.1517
SciMark benchmark
576.4515[334.5302501389888904.2491647377733233.7270039393817496.48487359389475913.2664407883208]