DEVELOPMENT... OpenML
Run
62983

Run 62983

Task 3561 (Supervised Classification) profb Uploaded 16-11-2014 by Felicia West
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Flow

weka.Bagging_LWL_DecisionStump(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_LWL_DecisionStump(2)_I40
weka.Bagging_LWL_DecisionStump(2)_P100
weka.Bagging_LWL_DecisionStump(2)_S1
weka.Bagging_LWL_DecisionStump(2)_Wweka.classifiers.lazy.LWL
weka.Bagging_LWL_DecisionStump(2)_num-slots1
weka.LWL_DecisionStump(2)_Atrue
weka.LWL_DecisionStump(2)_K-1
weka.LWL_DecisionStump(2)_U0
weka.LWL_DecisionStump(2)_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.

21 Evaluation measures

Area under ROC curve
0.6538
Per class
Build CPU time
0.0088
Build memory
948032636.3452
F measure
0.5326
Per class
Kappa
-0.003
KB relative information score
32.6309
Mean absolute error
0.4186
Mean prior absolute error
0.4446
Number of instances
672
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4441
Per class
Predictive accuracy
0.6652
Prior entropy
0.9188
Recall
0.6652
Per class
Relative absolute error
0.9414
Root mean prior squared error
0.4714
Root mean squared error
0.4554
Root relative squared error
0.966
SciMark benchmark
941.4198

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