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ADDI

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What about constant solution??? Selection of constants based on the distribution of test data and 0.806 on the leaderboard

sweetlhare
· Over 1 year ago

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R you normal? (explore datapoints + xgboost training 0.606) Challenges reflections and r xgboost approach

demarsylvain
· Over 1 year ago

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How to Draw a Clock Let's try to visualise the data points

adilism
· Over 1 year ago

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F1:0.376 Image pixel representation + CNN Model Baseline Create Image-Pixel like representation features and Convolution Neural Network based baseline

nilabha
· Over 1 year ago

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Detailed Data Analysis & Simple CatBoost - 0.640 on LB Description of features and the entire dataset, selection of categorical features by logic, CatBoost

sweetlhare
· Over 1 year ago

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undersampling+bagging example To tackle with huge class imbalance, I applied downsampling+bagging using lightgbm.

jsato
· Over 1 year ago

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F1:0.52-Baseline Imbalance Samplers(20+) and 8Classifiers Automated Benchmark of Imbalanced Samplers and Classifiers + Feature Engineering with Shapley Values

nilabha
· Over 1 year ago

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EDA, FE, HPO - All you need (LB: 0.640) Detailed EDA, FE with Class Balancing, Hyper-Parameter Optimization of XGBoost using Optuna

jyot_makadiya
· Over 1 year ago

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What about neural networks? (0.694 LogLoss , 0.497 F1) Trying out neural networks, imputing NaN values with KNNs, and exploring the data!

mmi333
· Over 1 year ago

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End-to-End Simple Solution (9 Models + Data Imbalance) In this simple notebook I provide an End-to-End Solution with 9 models + data imbalance options

santiactis
· Over 1 year ago

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Dealing with Class Imbalance Looking at different ways to address class imbalance in this dataset

Johnowhitaker
· Over 1 year ago

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A starter kit for R! +Analysis, Features, Training xgboost A end-to-end working notebook for R, with light Exploratory Analysis and Feature Engineering

michael_bordeleau
· Over 1 year ago

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FastAI Tabular Starter Minimal submission making predictions using fastai's tabular learner

Johnowhitaker
· Over 1 year ago

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Grid search + voting classifier perform a GS over a voting classifier made of RF and BG

sany
· Over 1 year ago

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Simple EDA and Baseline - LB 0.66 (0.616 with a magic) Simple EDA and Baseline - LB 0.66 (0.616 with a magic)

moto
· Over 1 year ago

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ADDI Alzhemiers columns Reference Feature Explorations

siddharth
· Over 1 year ago

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