Auto-WEKA 2.0: Automatic model selection and hyperparameter optimization in WEKA
, 2017 Kotthoff, L. +4 more
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Adaptive vector oriented control of doubly fed induction generator wind turbines using M5P model tree for robust dynamic performance. [PDF]
Sci RepBenyoucef K +7 more
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Machine-Learning-Based Survival Prediction in Glioblastoma Using Graph-Theoretical Analysis of Structural Network Alterations. [PDF]
Cancers (Basel)Stadlbauer A +8 more
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Aortic thrombi microstructure through contrast-enhanced X-ray microtomography. [PDF]
Sci RepLéonet J +3 more
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Prediction of damage evolution in carbonate building stones subjected to simulated acid rain using M5P model. [PDF]
Sci RepBameri A, Ghasemi E, Nasiri Sarvi M.
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Enhancing HCV NS3 Inhibitor Classification with Optimized Molecular Fingerprints Using Random Forest. [PDF]
Int J Mol SciAtasever S.
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Monitoring pilots' mental workload in real flight conditions using multinomial logistic regression with a ridge estimator. [PDF]
Front Robot AIHaseeb M +5 more
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More than twelve years have elapsed since the first public release of WEKA. In that time, the software has been rewritten entirely from scratch, evolved substantially and now accompanies a text on data mining [35]. These days, WEKA enjoys widespread acceptance in both academia and business, has an active community, and has been downloaded more than 1.4
Mark Hall, Eibe Frank, Geoffrey Holmes
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Medical Diagnosis Classification Using WEKA
AHFE International, 2022The use of data mining techniques is not new—commonly it is used in various other industries, such as financial services, marketing and manufacturing. The main goal of data mining is to find patterns in a large dataset that yield insight and expertise.
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