DEVELOPMENT... OpenML
Run
64412

Run 64412

Task 2125 (Supervised Classification) eucalyptus Uploaded 17-11-2014 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)_I160
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
0.8675
Per class
Build CPU time
0.042
Build memory
1214002344
F measure
0.4068
Per class
Kappa
0.3363
KB relative information score
87.4136
Mean absolute error
0.2368
Mean prior absolute error
0.3134
Number of instances
242
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.3568
Per class
Predictive accuracy
0.5083
Prior entropy
2.2629
Recall
0.5083
Per class
Relative absolute error
0.7556
Root mean prior squared error
0.3959
Root mean squared error
0.3366
Root relative squared error
0.8502
SciMark benchmark
941.4198