Catboost Confidence Interval

Sign in to view. Cpk 95% Confidence Interval by Sample Size. Binomial proportion confidence interval when rigid bounds on population proportion (0. This distribution is similar to the normal distribution when the correlation is small, and incrementally changes into a negatively skewed distribution as the correlation increase. (Solid line is mean and shaded are is 95% confidence intervals). Stopping Rules - Medical University of South Carolina. Populations (and samples) with more variability generate wider confidence intervals. grf - Generalized random forest. Meaning of confidence interval in seaborn barplot I'm working with titanic data. Variability: as measured by the standard deviation. Building confidence and prediction intervals and plotting: data1 <- read. The consensus counted on -7. This means our 95% confidence interval for the AUC on the test set is between 0. For a detailed explanation of AUC, see this link. Explain why a confidence interval makes clear that one should not accept the null hypothesis There is a close relationship between confidence intervals and significance tests. The results show that using the rough set method for missing data imputation on GMD data improve the predictive capability of the logistic regression. I'v successfully installed CatBoost via pip install catboost But I'v got errors, when I tried sample python script in Jupiter Notebook import numpy as np from catboost import CatBoostClassifier. 0320), so it was significant. Stack Exchange network consists of 175 Q&A communities including Stack Overflow, the largest, most trusted online community for developers to learn, share their knowledge, and build their careers. 1 percentage points in August compared to last month, according to the latest India Primary Consumer Sentiment Index (PCSI). In addition, exercise intervention reduced. 6822, as can be seen below. Facebook's New Privacy Control Tool to Boost User Confidence. 最近xgboostがだいぶ流行っているわけですけど,これはGradient Boosting(勾配ブースティング)の高速なC++実装です.従来使われてたgbtより10倍高速らしいです.そんなxgboostを使うにあたって,はてどういう理屈で動いているものだろうと思っていろいろ文献を読んだのですが,日本語はおろか. Specifically, if a statistic is significantly different from 0 at the 0. A sample of 16 times yielded an average time of 19. Main advantages of CatBoost: Superior quality when compared with other GBDT libraries on many datasets. Cpk 95% Confidence Interval by Sample Size. As you can see from the following charts, confidence intervals can vary substantially around Cpk based on sample size. Confidence interval is the range of plausible values in which we want to capture the population parameter. share how can I calculate confidence interval with small sample in R?. rfpimp - Feature Importance for RandomForests using Permuation. To see how well-calibrated the model is, we can check the coverage of the 95% confidence interval (the percentage of y values from the validation dataset falling within our 95% predictive interval). Here is an example of Confidence intervals Confidence intervals. High-intensity interval training (HIIT) is the best way to improve your cardiovascular threshold, which is a great measurement of your fitness capacity. One implementation of the gradient boosting decision tree – xgboost – is one of the most popular algorithms on Kaggle. As you can see from the following charts, confidence intervals can vary substantially around Cpk based on sample size. 하지만 아프리카계 미국인의 샘플 수가 매우 작기 때문에, 다소 confidence interval 이 크다는 것을 알 수 있다. the variance was reduced (that big change is because the dataset is very small) after using the Mean Imputation. 원문 : http://jakevdp. 最近xgboostがだいぶ流行っているわけですけど,これはGradient Boosting(勾配ブースティング)の高速なC++実装です.従来使われてたgbtより10倍高速らしいです.そんなxgboostを使うにあたって,はてどういう理屈で動いているものだろうと思っていろいろ文献を読んだのですが,日本語はおろか. dtreeviz - Decision tree visualization and model interpretation. 5 < p < 1) A standard problem is estimation of confidence intervals for a population proportion given that one has observed f successes out of n independent trials. Going deeper into mathematics, a smaller variance leads to the narrower confidence interval in the probability distribution. 58 respectively. grf - Generalized random forest. R프로그래밍 기초 3장. A C library for arbitrary-precision interval arithmetic: Python module to produce bootstrapped confidence intervals and effect sizes. In addition, exercise intervention reduced. This allows you to run your DAG locally from start to finish - with the same code as it would on production. Meaning of confidence interval in seaborn barplot I'm working with titanic data. 92 minutes, with a sample standard deviation of 5. Confidence intervals are used to assess how reliable a statistical estimate is. 결과적으로, 실험후에 우리가 아는 것에 대한 불확실성을 표현하기 위해, 빈도주의론자는 신뢰구간(Confidence interval)이라는 걸 사용한다. statsmodels is a Python module that provides classes and functions for the estimation of many different statistical models, as well as for conducting statistical tests, and statistical data exploration. The training data used in this study covers the period from January 1, 2012 to February 1, 2012 for winter season and the period from July 1, 2012 to August 1, 2012 for. Factors that put patients at significantly higher risk of developing type 2 diabetes included older age (hazard ratio, 1. Visa data are Home Office Sponsored Study (Tier 4) visas granted for 12. Random Forest, K- Mean Clustering, XG Boost, CatBoost, AdaBoost, Light GBM Statistics : Exploratory Data Analysis, Data and Sampling distribution, Confidence Interval, Statistical Testing - A/B. Video cONFidence - Hài mới nhất cập nhật những video hài hoài linh, hài trấn thành mới nhất, với What is a confidence interval for a sample proportion? In this video, an animation helps explain how. h2o - Gradient boosting. Confidence Interval for Pearson's r. 3 in August, up 3. If you can commit to four interval workouts a week. scikit-garden - Quantile Regression. h2o - Gradient boosting. 신뢰구간은 최소한의 확률(예를들어 95%)로 모수의 참값을 포함할 값의 범위를 말한다. A C library for arbitrary-precision interval arithmetic: Python module to produce bootstrapped confidence intervals and effect sizes. Confidence interval for difference: lower: The confidence interval is an alternative way to indicate the variability in estimates from small samples. Confidence Interval A confidence interval is used to estimate what percent of a population fits a category based on the results from a sample population. 57 D, 95% confidence interval [CI]. Being able to see your pipeline succeed gives you more confidence about the logic you are creating/refactoring and the integration between the different components you are facing. Listen at https://assumeform. Learn vocabulary, terms, and more with flashcards, games, and other study tools. When a 95% confidence interval is constructed, all values in the interval are considered plausible If the value of the parameter specified by the null hypothesis is contained in the 95% interval then the. The consumer confidence index is released monthly based on 2,300 surveyed European consumers. Active 5 months ago. ROC curves for risk prediction models. rfpimp - Feature Importance for RandomForests using Permuation. Binomial proportion confidence interval when rigid bounds on population proportion (0. , times out of 100. 6 mL (95% confidence interval 13. Note that the parameter name is the name of the step in the pipeline, and then the parameter name within that step which we want to optimize, separated by a double-underscore. Overfitting is a problem with sophisticated non-linear learning algorithms like gradient boosting. a Python module for calculating variance and adding confidence intervals to scikit-learn random forest regression or classification objects. Whether it is body confidence, confidence in our ability or the confidence to be ourselves each 5. I'm using seaborn barplot to understand the data so what this line means?I know it's 95% confidence interval,but how to understand this graph some of the line is long. We would like to show you a description here but the site won't allow us. auc function from pROC. * Result depends on the number sample The default probability is 95%. 가족력별 분석 : 가족력이 있는 사람 (총 1767 명 중 141명 case) 과 가족력이 없는 사람 (총 2170명 중 128명 case) 에 대해 예측력을 비교하였다. 교재 : 데이터 분석 준 전문가 Adsp 2017 데이터 분석 1장. We will make some assumptions for what we might find in an experiment and find the resulting confidence interval using a normal distribution. scikit-garden - Quantile Regression. If both ends of the 95% confidence interval exceed zero, then we are at least 95% sure (under the assumptions of the model) that the parameter is positive. 데이터 분석 개요 2장. 4% when the imputed dataset was used, meaning higher precision. forestci - Confidence intervals for random forests. txt) or read online for free. 0320), so it was significant. scikit-garden - Quantile Regression. One implementation of the gradient boosting decision tree - xgboost - is one of the most popular algorithms on Kaggle. If we were to sample from the same user population 100 times, we’d expect the average to fall within the interval 95, 90 etc. Confidence Interval A confidence interval is used to estimate what percent of a population fits a category based on the results from a sample population. “Seeing” confidence intervals It is sometimes easier to appreciate wide vs narrow confidence intervals by seeing them next to each other on a graph called a Forest plot. Meaning of confidence interval in seaborn barplot I'm working with titanic data. That is not quite as easy as it may sound, but it can be done with available software. 1; osx-64 v1. Confidence intervals can increase or decrease depending of these factors: • Sample size: The smaller the sample size, the bigger the interval • Population variability: The bigger the population variability, the bigger the interval • Confidence lev. pdf), Text File (. To continue with the point that confidence intervals can. The consensus counted on -7. Parameters for Tree Booster¶. Stopping Rules - Medical University of South Carolina. Almost nothing in this article is original with me. probability requires roc curve. Dealing with the class imbalance in binary classification. It is often used as a measure of a model's performance. Confidence Interval A confidence interval is used to estimate what percent of a population fits a category based on the results from a sample population. This calculator generate the output value of confidence interval according to the respective input values of confidence level, sample size, population and percentage. 5-th quantile of the data, and the 2. Mean patient age was 27 (range 16 to 42) while the mean sample size was 66 (range 50 to 96). Confidence intervals can increase or decrease depending of these factors: • Sample size: The smaller the sample size, the bigger the interval • Population variability: The bigger the population variability, the bigger the interval • Confidence lev. Overfitting is a problem with sophisticated non-linear learning algorithms like gradient boosting. How to Burn Calories Fast with Interval Training Workouts. 1% from last month, TurkStat said in a. While some of them are "I am an expert in X and X can train on any type of data", where X = some algorithm, some others are "Right tool for the right job people". 4: doc: dev:. Can use these training plans for treadmill, bike, or rowing machine. Here we will look at a fictitious example. forestci - Confidence intervals for random forests. ROC curves for risk prediction models. “CatBoost” name comes from two words “ Cat egory” and “ Boost ing”. Aug 23, 2019 · Americans' confidence in the U. Abbreviations: CI = confidence interval; HPV = human papillomavirus; MenACWY = quadrivalent meningococcal conjugate vaccine; MenB = serogroup B meningococcal vaccine; MMR = measles. A C library for arbitrary-precision interval arithmetic: Python module to produce bootstrapped confidence intervals and effect sizes. 60) almost (In statistics, if a confidence interval includes zero, it means "nothing to see here. Start studying Chapter 21: What Is a Confidence Interval?. For example if estimate the point estimate, if we guess the exact value chances are we will. Is powered by WordPress using a bavotasan. Explain why a confidence interval makes clear that one should not accept the null hypothesis There is a close relationship between confidence intervals and significance tests. Confidence intervals are sometimes used for an observation from an individual patient. This function allows to get the feature importance on a LightGBM model. Video cONFidence - Hài mới nhất cập nhật những video hài hoài linh, hài trấn thành mới nhất, với What is a confidence interval for a sample proportion? In this video, an animation helps explain how. Point estimates and 99% confidence intervals for coefficients derived from five regressions that estimate nitrate exposure. We’ll optimize CatBoost’s learning rate to find the learning rate which gives us the best predictive performance. scikit-garden - Quantile Regression. An industrial designer wants to determine the average amount of time it takes an adult to assemble an “easy to assemble” toy. The results show that using the rough set method for missing data imputation on GMD data improve the predictive capability of the logistic regression. Going deeper into mathematics, a smaller variance leads to the narrower confidence interval in the probability distribution. As discussed, the library works well with multiple Cat egories of data, such as audio, text, image including historical data. Is there anyway to calculate mean and standard deviation if we are given the 95% confidence interval? I have the following interval 1. Should we plot the confidence intervals? ci. Consumer confidence in Turkey's economy improved on a monthly basis in August, the Turkish The consumer confidence index reached 58. Abbreviations: CI = confidence interval; HPV = human papillomavirus; MenACWY = quadrivalent meningococcal conjugate vaccine; MenB = serogroup B meningococcal vaccine; MMR = measles. A C library for arbitrary-precision interval arithmetic: Python module to produce bootstrapped confidence intervals and effect sizes. rfpimp - Feature Importance for RandomForests using Permuation. grf - Generalized random forest. If both ends of the 95% confidence interval exceed zero, then we are at least 95% sure (under the assumptions of the model) that the parameter is positive. We’ll optimize CatBoost’s learning rate to find the learning rate which gives us the best predictive performance. auc function from pROC. Facebook's New Privacy Control Tool to Boost User Confidence. 6 higher for each unit increase in the exposure index. Active 5 months ago. One of the main reasons data analysts turn to R is for its strong graphic capabilities. Sign in to view. With a quantile regression we can separately estimate the expected value, the upper bound of the (say, 95%) predictive interval, and the lower bound of the predictive interval. The training data used in this study covers the period from January 1, 2012 to February 1, 2012 for winter season and the period from July 1, 2012 to August 1, 2012 for. This distribution is similar to the normal distribution when the correlation is small, and incrementally changes into a negatively skewed distribution as the correlation increase. default or plot. Beverley has been working as part of Andrew Hattersley's diabetes research team, in data management and statistics roles since 2001, and has been involved in research including genetics of diabetes, fetal growth, and thyroid hormones in pregnancy. dtreeviz - Decision tree visualization and model interpretation. economy has dipped slightly since last month and more than 40 Gallup said the responses indicate Americans are less confident about the direction of the economy. BOOST YOUR CONFIDENCE (INTERVALS) WITH SAS Brought to you by: Peter Langlois, PhD Birth Defects Epidemiology & Surveillance Branch, Texas Dept State Health Services. Mean patient age was 27 (range 16 to 42) while the mean sample size was 66 (range 50 to 96). Binomial proportion confidence interval when rigid bounds on population proportion (0. Machine Learning Practitioners have different personalities. … further arguments passed to or from other methods, especially arguments for roc and plot. catboost - Gradient boosting. 1; osx-64 v1. ROC curves for risk prediction models. The results show that using the rough set method for missing data imputation on GMD data improve the predictive capability of the logistic regression. CatBoost is a machine learning method based on gradient boosting over decision trees. 신뢰구간은 최소한의 확률(예를들어 95%)로 모수의 참값을 포함할 값의 범위를 말한다. type and col arguments for plot. I'm using seaborn barplot to understand the data so what this line means?I know it's 95% confidence interval,but how to understand this graph some of the line is long. Question Idea network consists of 176 Q&A communities including Stack Overflow, the largest, most trusted online community for developers to learn, share their knowledge, and build their careers. forestci - Confidence intervals for random forests. Confidence intervals are sometimes used for an observation from an individual patient. Hello R users & R friends, I just want to ask you if density() can produce a confidence interval, indicating how "certain" the density() line follows the true frequency. 4: doc: dev:. confidence interval will also serve as a significance test. experts! Maybe, you know how to calculate confidence interval for xgboost? Classic formula with t-distribution can't help, because my data aren't normally distributed. If the model is well-calibrated, the coverage will be near 95%. grf - Generalized random forest. We’ll optimize CatBoost’s learning rate to find the learning rate which gives us the best predictive performance. Confidence boost is when a really shy person gets really confident and doesn't care about any consequences of any actions, it always lasts for a day or two. dtreeviz - Decision tree visualization and model interpretation. Google Analytics Customer Revenue Prediction Predict how much GStore customers will spend 대회 목적. The formula for a confidence interval for a mean using Z is: where Z is the critical value from a two-tail test. Main advantages of CatBoost: Superior quality when compared with other GBDT libraries on many datasets. a Python module for calculating variance and adding confidence intervals to scikit-learn random forest regression or classification objects. 1 percentage points in August compared to last month, according to the latest India Primary Consumer Sentiment Index (PCSI). This allows you to run your DAG locally from start to finish - with the same code as it would on production. (Solid line is mean and shaded are is 95% confidence intervals). It was noted that the confidence intervals' coverage begins to degrade at the edge of the feature space, particularly for high dimension. (p-value, confidence interval)-1. Beverley has been working as part of Andrew Hattersley's diabetes research team, in data management and statistics roles since 2001, and has been involved in research including genetics of diabetes, fetal growth, and thyroid hormones in pregnancy. Confidence regions generalize the confidence interval concept to deal with multiple quantities. Consumer confidence in Turkey's economy improved on a monthly basis in August, the Turkish The consumer confidence index reached 58. catboost - Gradient boosting. (Solid line is mean and shaded are is 95% confidence intervals). Google Analytics Customer Revenue Prediction Predict how much GStore customers will spend 대회 목적. By default, this function uses 2000 bootstraps to calculate a 95% confidence interval. Interview Preparation. And now, we're reading to get our confidence interval! We can do that in just one line of code using the ci. Indeed, the reported drop in IQ for boys was about 4. scikit-garden - Quantile Regression. Is powered by WordPress using a bavotasan. A number of the revenues in GERS are based on survey estimates. Mean patient age was 27 (range 16 to 42) while the mean sample size was 66 (range 50 to 96). Active 5 months ago. Meta-analysis of four studies indicated that TXA treatment resulted in an average reduction in blood loss of 41. Now let's return for a moment to the question that first motivated this lab: based on this sample, what can we infer about the population?. 통계 분석 5장 정형 데이터 마이닝 4장. Binomial proportion confidence interval when rigid bounds on population proportion (0. Within a 90% confidence interval, it was concluded that when the irrigation interval was 124-151 mm and the nitrogen interval was 318-504 kg/ha, the yield, WUE, and Vitamin C reached ≥90% of. , 2016a), giving a good level of confidence in these new models providing significantly improved predictions. Random Forest, K- Mean Clustering, XG Boost, CatBoost, AdaBoost, Light GBM Statistics : Exploratory Data Analysis, Data and Sampling distribution, Confidence Interval, Statistical Testing - A/B. Rで実行するためのパッケージとして{xgboost}、{caret}、{catboost}の3種類が提供されている; データアナリストの知り合いに聞いたところ、XGboostはパラメタが多くチューニングが大変ですが、その分チューニングによる精度向上が期待できる手法だそうです。. grf - Generalized random forest. Confidence intervals are used to assess how reliable a statistical estimate is. 4% when the imputed dataset was used, meaning higher precision. By default, this function uses 2000 bootstraps to calculate a 95% confidence interval. Since AUC is widely […] The post How to get an AUC confidence interval appeared first on Open Source Automation. One of my favorite ways to burn calories and burn fat is called HIIT (High Intensity Interval Training). Specifically, if a statistic is significantly different from 0 at the 0. 3 in August, up 3. Consider the following statement: In a normal distribution, 68% of the values. Here we will look at a fictitious example. Active 5 months ago. Note that the confidence intervals relate to the latest year of survey data. h2o - Gradient boosting. Building confidence and prediction intervals and plotting: data1 <- read. 6822, as can be seen below. We'll optimize CatBoost's learning rate to find the learning rate which gives us the best predictive performance. I also provided the links for my other statistics. And now, we're reading to get our confidence interval! We can do that in just one line of code using the ci. Learn the concept of a confidence interval, as it applies to a population mean! Find the web. It has been hypothesized that individuals sufferering from Alzheimer's Disease may spend less time per night in the deeper stages of sleep. grf - Generalized random forest. 2 years old) how SCLs, designed to reduce the degree of relative peripheral hyperopia, decreased myopia progression of 34% (−0. It was noted that the confidence intervals' coverage begins to degrade at the edge of the feature space, particularly for high dimension. scikit-garden - Quantile Regression. A number of the revenues in GERS are based on survey estimates. 58 respectively. rfpimp - Feature Importance for RandomForests using Permuation. The default calculation here is a '95% confidence interval' (other percentages can be given by changing the value in cell W10). August 21, 2019, 10:44:00 AM EDT By Zacks Equity Research, Zacks. Spend some time imagining the most confident you Our mind does not recognise the difference. Please enter the necessary parameter values, and then click 'Calculate'. Fitness, Health, And Confidence ❤. These heart-pumping cardio circuits burn calories fast — Women's Health. forestci - Confidence intervals for random forests. 데이터 분석 개요 2장. 14 oznaka "sviđa mi se", 0 komentara - NewsIn. Interview Preparation. I'm using seaborn barplot to understand the data so what this line means?I know it's 95% confidence interval,but how to understand this graph some of the line is long. interval of definition differential equation. For a detailed explanation of AUC, see this link. (p-value, confidence interval)-1. Facebook's New Privacy Control Tool to Boost User Confidence. Point estimates and 99% confidence intervals for coefficients derived from five regressions that estimate nitrate exposure. rfpimp - Feature Importance for RandomForests using Permuation. Aug 23, 2019 · Americans' confidence in the U. That is, we’re predicting not just the mean, but also the 97. In this confidence limits calculator enter the percentage of confidence limit level, which ranges from 90 % to 99 %, sample size, mean and standard deviation to know the lower and upper confidence limits. Visa data are Home Office Sponsored Study (Tier 4) visas granted for 12. Ask Question Asked 4 years, 10 months ago. One implementation of the gradient boosting decision tree – xgboost – is one of the most popular algorithms on Kaggle. Confidence intervals can increase or decrease depending of these factors: • Sample size: The smaller the sample size, the bigger the interval • Population variability: The bigger the population variability, the bigger the interval • Confidence lev. Meaning of confidence interval in seaborn barplot I'm working with titanic data. a Python module for calculating variance and adding confidence intervals to scikit-learn random forest regression or classification objects. grf - Generalized random forest. confidence interval will also serve as a significance test. Being able to see your pipeline succeed gives you more confidence about the logic you are creating/refactoring and the integration between the different components you are facing. Confidence Intervals (CI). 62) probability distribution. forestci - Confidence intervals for random forests. 转 【Scikit-Learn 中文文档】交叉验证 - 模型选择和评估 - 用户指南 | ApacheCN. Mrugankakarte changed the title Windows: Compiler issue while installing in R Windows: Compiler issue while installing in R ; Errors in 'ymake_conf. The Poisson 95% Confidence Interval for the number counted (the Numerator). Confidence interval. If the model is well-calibrated, the coverage will be near 95%. asia) na Instagramu: "Bohra conference to boost global confidence in Lankan security situation - Tourism Minister John…". ROC curves for risk prediction models. | density() with confidence intervals. , times out of 100. While some of them are "I am an expert in X and X can train on any type of data", where X = some algorithm, some others are "Right tool for the right job people". Catboost is a boosting algorithm that handles categorical attributes. This study set focuses on the terminology used in calculating confidence intervals and sample size. rfpimp - Feature Importance for RandomForests using Permuation. thundergbm - GBDTs and Random Forest. I'm using seaborn barplot to understand the data so what this line means?I know it's 95% confidence interval,but how to understand this graph some of the line is long. forestci - Confidence intervals for random forests. edu Phase II stopping rules Safety continuous monitoring Example: "if the lower limit of the 95% confidence interval for toxicity evers rises above 10%, then study will stop" Example: "if 2 or more deaths are observed during any point in the trial, the study will stop". Affirmations build self-confidence and well being. Cpk 95% Confidence Intervals for n=25, 100 and 250. August 21, 2019, 10:44:00 AM EDT By Zacks Equity Research, Zacks. Cpk 95% Confidence Interval by Sample Size. h2o - Gradient boosting. We would like to show you a description here but the site won’t allow us. This is an online Confidence Limits for Mean calculator to find out the lower and upper confidence limits for the given confidence intervals. “CatBoost” name comes from two words “ Cat egory” and “ Boost ing”. We'll optimize CatBoost's learning rate to find the learning rate which gives us the best predictive performance. 01; 95 percent confidence. Almost nothing in this article is original with me. dtreeviz - Decision tree visualization and model interpretation. In addition, exercise intervention reduced. For example, if 70 adults own a cell phone in a random sample of 100 adults, we can be fairly confident that the true percentage amongst the population is somewhere between 61% and 79%. To see how well-calibrated the model is, we can check the coverage of the 95% confidence interval (the percentage of y values from the validation dataset falling within our 95% predictive interval). After reading this post, you will know: About early stopping as an approach to reducing. 6639-6649, December 03-08, 2018, Montréal, Canada. Calculating a Confidence Interval From a Normal Distribution ¶. Understanding Confidence Intervals: Statistics Help. One of my favorite ways to burn calories and burn fat is called HIIT (High Intensity Interval Training). Confidence regions generalize the confidence interval concept to deal with multiple quantities. Almost nothing in this article is original with me. Here is an example of Confidence intervals Confidence intervals. Confidence interval. Meaning of confidence interval in seaborn barplot I'm working with titanic data. grf - Generalized random forest. Machine Learning Practitioners have different personalities. scikit-garden - Quantile Regression. Overfitting is a problem with sophisticated non-linear learning algorithms like gradient boosting. Full list of contributing R-bloggers R-bloggers was founded by Tal Galili , with gratitude to the R community. These heart-pumping cardio circuits burn calories fast — Women's Health. probability requires roc curve. Since AUC is widely […] The post How to get an AUC confidence interval appeared first on Open Source Automation. A number of the revenues in GERS are based on survey estimates. Facebook's (FB) launch of Off-Facebook Activity tool is expected to strengthen privacy control initiatives, which will boost user engagement. h2o - Gradient boosting.