DEVELOPMENT... OpenML
Run
60799

Run 60799

Task 3492 (Supervised Classification) monks-problems-1 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)_I10
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
0.8326
Per class
Build CPU time
0.0033
Build memory
3041098559.3094
F measure
0.729
Per class
Kappa
0.4928
KB relative information score
194.6087
Mean absolute error
0.3351
Mean prior absolute error
0.5
Number of instances
556
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8317
Per class
Predictive accuracy
0.7464
Prior entropy
1
Recall
0.7464
Per class
Relative absolute error
0.6702
Root mean prior squared error
0.5
Root mean squared error
0.4082
Root relative squared error
0.8163
SciMark benchmark
941.5509