DEVELOPMENT... OpenML
Run
62542

Run 62542

Task 21 (Supervised Classification) car Uploaded 16-11-2014 by Felicia West
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.9687
Per class
Build CPU time
0.0156
Build memory
62757565.8657
F measure
0.5768
Per class
KB relative information score
662.8748
Mean absolute error
0.1379
Mean prior absolute error
0.229
Number of instances
1728
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4903
Per class
Predictive accuracy
0.7002
Prior entropy
1.2099
Recall
0.7002
Per class
Relative absolute error
0.6021
Root mean prior squared error
0.3381
Root mean squared error
0.2663
Root relative squared error
0.7877
SciMark benchmark
943.8359