Hi All, I am running logistic regression model using variable selection, variable transform with maximum normal and then again variables transform with optimal binning. I am getting quite good roc index and miss-classification rate. In the plot I have many variables in blue i guess that m
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model , equipped with water sprays and a simulated dust scrubber, was located at the face of a 20-ft box cut. Blowing ventilation was provided using a curtain with a 40-ft setback distance. Methane released from a pipe manifold located inby the was monitored at six locations that were 1 ft outby the pipe manifold
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side of drugs, learning, accurate retrieval, precision. 1. INTRODUCTION All medications have both benefits and risks. In the United States, drug companies conduct time-consuming and expensive clinical trials of new drugs before they are marketed to
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Using Learning Techniques for ... Keywords– Sentiment Analysis, Data , Learning, Natural Language, Support Vector , Decision Trees, Recurrent Neural Networks, Naive Bayes ... ons of transformations and models to record the . Evaluate: Evaluate the trained models and compare
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PC-RM-Todd 2 Language of Material: English Contributing Institution: California Historical Society Title: Photographs of the of hydraulic in Nevada, Sutter, and Yuba counties Creator: Todd, J.A. John A. Identifier/Call Number: PC-RM-Todd Physical Description: 2.06 Linear Feet1 flat box Date bulk: 1882-1883 Abstract: Consists of seventeen photographs documenting the
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noise has a wide variety of frequency spectra and is a potential source of stress for wildlife. We evaluated the of noise on
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Text What is Text ? Text algorithms allow analysts to extract useful insights from raw text, which is useful when a dataset has information in the form of notes or descriptions from doctor visits or loan applications.. When data scientists build traditional learning models, they use numeric and categorical data as features, such as the requested loan amount in dollars or
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· The country, from its commerce to the environment to even its concept of time, was profoundly altered after the completion of the railroads 1,776 miles of track
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