Run
434899

Run 434899

Task 93 (Learning Curve) postoperative-patient-data Uploaded 12-05-2015 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_DecisionStump(3)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(3)_C3
weka.MultiBoostAB_DecisionStump(3)_P100
weka.MultiBoostAB_DecisionStump(3)_S1
weka.MultiBoostAB_DecisionStump(3)_I160
weka.MultiBoostAB_DecisionStump(3)_Wweka.classifiers.trees.DecisionStump

Result files

xml
Description

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

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

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

22 Evaluation measures

Area under ROC curve
0.4185 ± 0.1815
Per class
F measure
0.5873 ± 0.0843
Per class
Kappa
-0.0129 ± 0.04
KB relative information score
-0.2996 ± 0.2098
Mean absolute error
0.3413 ± 0.0353
Mean prior absolute error
0.2871 ± 0.0196
Number of instances
900
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5041 ± 0.0962
Per class
Predictive accuracy
0.7033 ± 0.0613
Prior entropy
0.983 ± 0.181
Recall
0.7033 ± 0.0613
Per class
Relative absolute error
1.1889 ± 0.1487
Root mean prior squared error
0.3755 ± 0.0263
Root mean squared error
0.4112 ± 0.0331
Root relative squared error
1.0952 ± 0.057
SciMark benchmark
941.3619
UserCPU time millis
10
UserCPU time millis training
10