DEVELOPMENT... OpenML
Run
61880

Run 61880

Task 3055 (Supervised Classification) monks-problems-3 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)_I20
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
0.9909
Per class
Build CPU time
0.004
Build memory
81726704
F measure
0.9617
Per class
Kappa
0.9219
KB relative information score
119.7344
Mean absolute error
0.1935
Mean prior absolute error
0.4967
Number of instances
182
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9648
Per class
Predictive accuracy
0.9615
Prior entropy
0.9989
Recall
0.9615
Per class
Relative absolute error
0.3895
Root mean prior squared error
0.4971
Root mean squared error
0.2635
Root relative squared error
0.53
SciMark benchmark
942.728