Run
65305

Run 65305

Task 1742 (Learning Curve) spambase Uploaded 20-11-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.MultiBoostAB_LWL_DecisionStump(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.LWL_DecisionStump(2)_Atrue
weka.LWL_DecisionStump(2)_K-1
weka.LWL_DecisionStump(2)_U0
weka.LWL_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump
weka.MultiBoostAB_LWL_DecisionStump(2)_C3
weka.MultiBoostAB_LWL_DecisionStump(2)_P100
weka.MultiBoostAB_LWL_DecisionStump(2)_S1
weka.MultiBoostAB_LWL_DecisionStump(2)_I10
weka.MultiBoostAB_LWL_DecisionStump(2)_Wweka.classifiers.lazy.LWL

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
0.9207 ± 0.0178
Per class
Build CPU time
614.7552
Build memory
495670595.9429
F measure
0.8492 ± 0.0207
Per class
Kappa
0.684 ± 0.0427
KB relative information score
0.6621 ± 0.0451
Mean absolute error
0.1598 ± 0.021
Mean prior absolute error
0.4776 ± 0.0002
Number of instances
4601
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8491 ± 0.0203
Per class
Predictive accuracy
0.8494 ± 0.021
Prior entropy
0.9674 ± 0.0006
Recall
0.8494 ± 0.021
Per class
Relative absolute error
0.3345 ± 0.044
Root mean prior squared error
0.4886 ± 0.0002
Root mean squared error
0.3634 ± 0.0294
Root relative squared error
0.7437 ± 0.0602
SciMark benchmark
943.0474