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Then, algorithm performance measure is performed through the ModelMetricsLeague. ML one-sport process in a nutshell For a given league, the entire process described above can be run via the ModelLeague.

License The Bet on Sibyl is licensed under the terms of the GPL Open Source license and is available for free. Links Here are all the website sources for data web scraping:Notes All us leagues and soccer leagues models are done. Tennis model is ongoing but partially finished. Any recommendation, help for the model would be much appreciated.

Here is below an example of the output for the 2017 nba season Then, webscraping (through the ScrapeMatchupDatetimeOddsTwoChoicesLeague. Terms Privacy Security Status Help Contact GitHub API Training Shop Blog About You can't perform that action at this time. You signed in with another tab or window.

Reload to refresh your session. You signed out in another tab or window. Our eSports betting tips and predictions section shall help you find good betting opportunities for matches of popular eSports like Dota 2, League of Legends, Starcraft 2, Hearthstone or Counter-Strike CS:GO.

Besides Pre-Match analysis you find betting odds comparison and useful stats in our articles to help you place better bets and find the best lines at the different bookmaker websites.

We provide you with useful statistics and information that will make your bets more efficient. Most of our preview and predictions article have an odds comparison section where you can check for yourself with eSports betting Site has the best odd for the bets you would like to place.

You can find out more about the bookmakers by checking out our eSports betting sites overview or the detailed reviews of each bookie below. Reviewview eSports oddsReviewview eSports oddsReviewview eSports oddsAlthough our main focus is on League of Legends and Dota 2 we try to provide you with betting tips and betting information for Hearthstone, CS:GO (Counter Strike), Starcraft 2, HOTS (Heroes of the Storm) and other eSports Games like Smite.

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Terms and conditions of the featured bookmakers apply. Full index of soccer related subredditsDaily Picks Thread - Sat. SoccerBetting)submitted 18 hours ago by JimmyB512 - announcementCan Everton pull off a win against the Reds.

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SoccerBetting)submitted 1 day ago by thepunterlifeSerious BettorDaily Picks Thread - Sun. SoccerBetting)submitted 1 day ago by thepunterlifeSerious BettorBet365 Inplay offer is back for Man U v Man City (self. SoccerBetting)submitted 1 day ago by martinkemAsian Handicap betting guide for beginners (self. SoccerBetting)submitted 2 days ago by therealpyroExperimentingDaily Picks Thread - Fri.How will they respond. After stubbing their toe in Seattle last week, the Eagles, having stayed out West, will rebound against the Rams.

Have to think Carson Wentz will be juiced up (and perhaps nicely tanned. The Rams got Jared Goff, and you can't really blame them. He's done some nice things this year. Wentz is sixth in the NFL quarterback rating, Goff ninth.

Prediction: Rams 27, Eagles 23 Eliot Shorr-Parks - Eagles Reporter, NJ Advance MediaThis is a very tough spot for the Eagles. PICK: Eagles 24, Rams 21 Darryl Slater - Jets Reporter, NJ Advance MediaAfter stubbing their toe in Seattle last week, the Eagles, having stayed out West, will rebound against the Rams. Prediction: Eagles 30, Rams 20 nj. Hi Subscribe today for full access on your desktop, tablet, and mobile device. Already a print edition subscriber, but don't have a login.

View the E-NewspaperManage your NewslettersView your Insider deals and moreMember ID CardSupportSupportLog OutLet friends in your social network know what you are reading aboutThe Buffalo Bills host the Indianapolis Colts in a Week 13 game at New Era Field. Sal Maiorana breaks down all the angles in his 3 and Out preview. Sal Maiorana, Virginia ButlerFrank Gore (23) and Jacoby Brissett lead the Colts into Buffalo Sunday. The fact that they still have a road game at New England makes that scenario a bit unlikely, but the other three games are certainly winnable, and the first of those comes up Sunday at New Era Field when the Indianapolis Colts take up residence on the other sideline.

The Colts are one of the worst teams in the NFL, and the Bills should take care of business even with rookie quarterback Nathan Peterman expected to start. A win would get Buffalo to 7-6 with Miami in town next week before the game with the Patriots. However, the postseason dream would die Sunday if the Bills falter against Indianapolis. Can the Bills win offensively on the early downs. Indy is allowing just 2. Buffalo, as always, will have to rely on its running game, especially with rookie Nathan Peterman most likely at quarterback in place of injured Tyrod Taylor.

But if the Colts stuff the run and put the Bills in unfavorable down and distance situations, that ramps up the pressure on Peterman. The Colts are solid on the front line, but are weak at linebacker, especially with John Simon getting hurt last week and now out for the season. This is a matchup the Bills have to exploit with LeSean McCoy.CLOSE X Brett Wilson VP and General Manager, Advertising, Adobe Brett Wilson is VP, Adobe Advertising Cloud.

CLOSE X Linda Yaccarino Chairman, Advertising Sales and Client Partnerships, NBCUniversal Linda Yaccarino is Chairman, Advertising Sales and Client Partnerships, NBCUniversal. CLOSE X Mark Zagorski CEO, Telaria Mark brings over 20 years of digital marketing leadership to his role as CEO of Telaria, Inc. CLOSE X John Ebbert Publisher, AdExchanger John Ebbert is publisher of AdExchanger, an online trade publication he began in 2008.

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CLOSE X James Hercher Reporter, AdExchanger James joined AdExchanger in March, 2015, after a recent stint in communications for advertising technology companies. CLOSE X Tilde Herrera Senior Editor, AdExchanger Tilde Herrera is the opinions editor at AdExchanger, where she oversees the publication of all op-ed columns, including Data-Driven Thinking and Sell Sider.

CLOSE X Kelly Liyakasa Senior Editor, AdExchanger Kelly Liyakasa covers commerce, video, TV and marketing tech for AdExchanger. CLOSE X Zach Rodgers Executive Editor, AdExchanger Zach Rodgers is the executive editor for AdExchanger, a digital advertising news and discussion site enabling the exchange of ideas among all members of the ecosystem, including agencies, advertisers, publishers and technology companies.

CLOSE X Allison Schiff Senior Editor, AdExchanger Allison Schiff is a senior editor for AdExchanger. CLOSE X Sarah Sluis Senior Editor, AdExchanger Sarah is a senior editor for AdExchanger. CLOSE X Alison Weissbrot Staff Reporter, AdExchanger As a staff reporter at AdExchanger, Alison covers advertising agencies and the digital audio landscape.

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About Us Contact Us Twitter Facebook Press Room. If you want early access to the next version of Android Studio, you don't have to replace your existing stable version. You can install the Android Studio preview side by side with the stable version and work on the same app projects in both.

This is possible because Android Studio stores its settings for each install in version-specific folders. For example, if you have the stable version of Android Studio 2. On Linux, they're in your home directory. By default, all Android Studio installations share the same Android SDK tools location as specified in the SDK Manager, so updates to your other SDK tools are available in all versions of Android Studio.In most cases these values will be fairly similar, and when discrepancies occur, it is probably always safest to interpret the lowest value.

The Gamma statistic is preferable to Spearman R or Kendall tau when the data contain many tied observations. Thus, Gamma is basically equivalent to Kendall tau, except that ties are explicitly taken into account. Detailed discussions of the Gamma statistic can be found in Goodman and Kruskal (1954, 1959, 1963, 1972), Siegel (1956), and Siegel and Castellan (1988). Multiple response variables or multiple dichotomies often arise when summarizing survey data.

The nature of such variables or factors in a table is best illustrated with examples. As part of a larger market survey, suppose you asked a sample of consumers to name their three favorite soft drinks.

Also, a wide variety of soft drinks will most likely be named. The next question is how to enter the responses into a data file.

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Suppose 50 different soft drinks were mentioned among all of the questionnaires. This method of coding the responses would be very tedious and "wasteful.

Alternatively, we could set up three variables, and a coding scheme for the 50 soft drinks. Then we could enter the respective codes (or alpha labels) into the three variables, in the same way that respondents wrote them down in the questionnaire. To produce a table of the number of respondents by soft drink we would now treat Resp. Note that the counts in the first column of the table do not add up to 500, but rather to 842.

For example, referring back to the sample listing of the data file shown above, the first case (Coke, Pepsi, Jolt) "contributes" three times to the frequency table, once to the category Coke, once to the category Pepsi, and once to the category Jolt.

The second and third columns in the table above report the percentages relative to the number of responses (second column) as well as respondents (third column). Thus, the entry 8. Suppose in the above example we were only interested in Coke, Pepsi, and Sprite. As pointed out earlier, one way to code the data in that case would be as follows: COKE PEPSI SPRITE. In other words, one variable was created for each soft drink, then a value of 1 was entered into the respective variable whenever the respective drink was mentioned by the respective respondent.

In a sense, we "compact" the three variables Coke, Pepsi, and Sprite into a single variable (Soft Drink) consisting of multiple dichotomies. All of these types of variables can then be used in crosstabulation tables. For example, we could crosstabulate a multiple dichotomy for Soft Drink (coded as described in the previous paragraph) with a multiple response variable Favorite Fast Foods (with many categories such as Hamburgers, Pizza, etc. As in the frequency table, the percentages and marginal totals in that table can be computed from the total number of respondents as well as the total number of responses.

For example, consider the following hypothetical respondent: Gender Coke Pepsi Sprite Food1 Food2 FEMALE 1 1 FISH PIZZA This female respondent mentioned Coke and Pepsi as her favorite drinks, and Fish and Pizza as her favorite fast foods. In the complete crosstabulation table she will be counted in the following cells of the table: Food. FEMALE MALE COKE PEPSI SPRITE COKE PEPSI SPRITE X X X X 2 2 This female respondent will "contribute" to (i. Paired Crosstabulation of Multiple Response Variables.

A unique option for tabulating multiple response variables is to treat the variables in two or more multiple response variables as matched pairs. Again, this method is best illustrated with a simple example.

Suppose we conducted a survey of past and present home ownership. We asked the respondents to describe their last three (including the present) homes that they purchased. For each home we asked our respondents to write down the number of rooms in the respective house, and the number of occupants.

Here is how the data for one respondent (say case number 112) may be entered into a data file: Case no. Rooms 1 2 3 No.From the word go you have paid meticulous attention to detail, but in a very friendly way. Kolbrun was prompt in her replies to our sometimes trivial questions.

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There were no omissions to the detailed information and it was provided in an organised format. This holiday certainly had the WOW factor. Our travel councillor Kolbrun is very good.

Any question I have, she always tried her best to answer. When I told her about my walking condition she booked hotels close to stations or the ship we needed to do. She made our trip smooth and enjoyable.

It was first time using a self directed trip, and we were a little worried about the connections, but in fact it was very easy and smooth. Everything was wonderful, you more than met our expectations. The quality of the rooms and hotels was excellent, the locations were perfect.

Sofia was an outstanding person to work with. She managed everything, assisted us in getting a visa issued and when there was one small glitch, promptly arranged for a refund for that portion of the tour. If I book another tour, I will not hesitate to request her again.

I couldn't be happier.

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Oh yeah, Scandinavia is pretty cool too. We both felt the whole package was really well organised and structured. The road map was well marked with things of interest and the Iceland Road Guide was an excellent source book. Hotels were good quality and staff were helpful and really welcoming.

Meals in hotels were good. Meals in restaurants were invariably good and (particularly Nordic Visitor's recommendation in Stokkseyri) often excellent I'm convinced that Nordic Visitor sells a high quality and well organised product.Chu Chu Charlie (15) 10.

So Distinct (5) CHOUXTING THE MOB in the money last start running third at Ballarat when resuming and placed at Geelong in only second-up attempt, has solid claims.

SET THE BAR HIGH has three placings from four runs this prep and finished fourth last start at Terang, don't dismiss. CHU CHU CHARLIE has the speed to overcome a very wide draw and has three placings from five runs this prep, quinella.

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SO DISTINCT ran fourth last start at Yarra Valley and should race on the speed, needs the breaks. R2 1000m Class: BM64, Handicap 1:29PM Selections 5. R3 1800m Class: Maiden, Handicap 2:04PM Selections 1. R4 1300m Class: Class 2, Handicap 2:39PM Selections 2. R5 1300m Class: Maiden, Handicap 3:15PM Selections 1.

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R4 1400m Class: Class 2, Handicap 3:35PM Selections 1. R5 1000m Class: Class 1, Handicap 4:20PM Selections 6. I Am Twisted (6) odds Scratched 1.There is a third variable (the initial size of the fire) that influences both the amount of losses and the number of firemen.

If you "control" for this variable (e. The main problem with spurious correlations is that we typically do not know what the "hidden" agent is.

However, in cases when we know where to look, we can use partial correlations that control for (partial out) the influence of specified variables. Are correlation coefficients "additive. For example, an average of correlation coefficients in a number of samples does not represent an "average correlation" in all those samples.

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In cases when you need to average correlations, they first have to be converted into additive measures. For example, before averaging, you can square them to obtain coefficients of determination, which are additive (as explained before in this section), or convert them into so-called Fisher z values, which are also additive.

How to Determine Whether Two Correlation Coefficients are Significant. A test is available that will evaluate the significance of differences between two correlation coefficients in two samples.

The outcome of this test depends not only on the size of the raw difference between the two coefficients but also on the size of the samples and on the size of the coefficients themselves. Consistent with the previously discussed principle, the larger the sample size, the smaller the effect that can be proven significant in that sample. In general, due to the fact that the reliability of the correlation coefficient increases with its absolute value, relatively small differences between large correlation coefficients can be significant.

For example, a difference of. To index Purpose, Assumptions. The t-test is the most commonly used method to evaluate the differences in means between two groups. For example, the t-test can be used to test for a difference in test scores between a group of patients who were given a drug and a control group who received a placebo.

Theoretically, the t-test can be used even if the sample sizes are very small (e.

As mentioned before, the normality assumption can be evaluated by looking at the distribution of the data (via histograms) or by performing a normality test.

The equality of variances assumption can be verified with the F test, or you can use the more robust Levene's test.

If these conditions are not met, then you can evaluate the differences in means between two groups using one of the nonparametric alternatives to the t- test (see Nonparametrics and Distribution Fitting). The p-level reported with a t-test represents the probability of error involved in accepting our research hypothesis about the existence of a difference. Technically speaking, this is the probability of error associated with rejecting the hypothesis of no difference between the two categories of observations (corresponding to the groups) in the population when, in fact, the hypothesis is true.

Some researchers suggest that if the difference is in the predicted direction, you can consider only one half (one "tail") of the probability distribution and thus divide the standard p-level reported with a t-test (a "two-tailed" probability) by two.

Others, however, suggest that you should always report the standard, two-tailed t-test probability. See also, Student's t Distribution.