Run
53777

Run 53777

Task 1723 (Learning Curve) mushroom Uploaded 08-11-2014 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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)_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
0.9917 ± 0.0028
Per class
Build CPU time
0.0027
Build memory
177634145.3867
F measure
0.9707 ± 0.0095
Per class
Kappa
0.9413 ± 0.0191
KB relative information score
0.8296 ± 0.0157
Mean absolute error
0.1003 ± 0.0076
Mean prior absolute error
0.4994 ± 0
Number of instances
8124
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9707 ± 0.0095
Per class
Predictive accuracy
0.9707 ± 0.0095
Prior entropy
0.9991 ± 0.0001
Recall
0.9707 ± 0.0095
Per class
Relative absolute error
0.2008 ± 0.0151
Root mean prior squared error
0.4997 ± 0
Root mean squared error
0.1798 ± 0.0175
Root relative squared error
0.3599 ± 0.035
SciMark benchmark
1678.1065