what is the confidence factor in weka
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- > On 23 Feb 2015, at 00:47, Turan Jahanbazi <[hidden email]> wrote: >. > Dear Weka users, > I am currently testing decision trees (J48) with difference confidence factor, but I don’t know that what is the.
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- Wald Confidence Intervals. Wald confidence intervals are sometimes called the normal confidence intervals. They are based on the asymptotic normality of the parameter estimators. where is the th percentile of the standard normal distribution, is the maximum likelihood estimate of , and is the standard error estimate of .
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What is 'Statistical Significance' The confidence level indicates the degree of confidence that the statistical result did not occur by chance or by sampling error. The customary confidence level in many statistical tests is 95%, leading to a customary significance level or p-value of 5%.
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What does cross validation in Weka mean? What does cross validation in Weka mean? When using classifiers, authors always test the performance of the ML algorithm using 10-fold cross validation in weka, but what I'm asking about author say that the classification performance of the data using SVM is 99.89± 0.35
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F-statistic and t-statistic In linear regression, the F-statistic is the test statistic for the analysis of variance (ANOVA) approach to test the significance of the model or the components in the model. The F-statistic in the linear model output display is the test statistic for testing the statistical significance of the model. The F-statistic values in the anova display are for assessing the significance of the terms or components in the model.
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- Prob > |T| labels the P values or the observed significance levels for the t statistics. The degrees of freedom used to calculate the P values is given by the Error DF from the ANOVA table. The P values tell us whether a variable has statistically significant predictive capability in the presence of the other variables, that is, whether it adds something to the equation.
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Blog As our sample size increases, the confidence in our estimate increases, our uncertainty decreases and we have greater precision. This is clearly demonstrated by the narrowing of the confidence intervals in the figure above.
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Therapeutic index The Certain Safety Factor is the ratio of the lethal dose to 1% of population to the effective dose to 99% of the population (LD1/ED99).
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- Do I take a 'performance hit'? Enabling WEP or WPA security on your network may reduce the performance of your network, especially if 128 bit encryption is employed. However, in all but the most exreme cases, the penalty is negligible, and won't be noticeable. Enabling WEP usually results in the card having to do the encryption and this means slowdown.
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Definitions &Translations Confidence is generally described as a state of being certain either that a hypothesis or prediction is correct or that a chosen course of action is the best or most effective.
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Faculty votes âno confidenceâ in TVCC president A vote of no confidence is the most serious expression of opposition that a union can make against an administrator or governing body. According to Wilson, 41 members of TVCC's faculty voted, 23-18, for the no confidence vote.
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Confidence Interval of the Coefficient of Variation These confidence limits to the coefficient of variation are only valid if sampling is from an approximately normally distributed population.
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Confidence Intervals - Statistics Teaching Tools What is a confidence interval? A confidence interval is a range around a measurement that conveys how precise the measurement is. For most chronic disease and injury programs, the measurement in question is a proportion or a rate (the percent of New Yorkers who exercise regularly or the lung cancer incidence rate).
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Joint Publication 1-02 The apparent power is the basis for electrical equipmentrating. The Power Factor Î» is the ratio of the active power P (kW)to the apparent power S (kVA): The load may be a single power-consuming item, or a number of items(for example an entire installation). The value of power factor will range from 0 to 1. Power factor is the ratio of apparent versus true power.
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The Difference Between WEP, WPA, and WPA2 Wi-Fi Passwords Wired Equivalent Privacy (WEP) Wired Equivalent Privacy (WEP) is the most widely used Wi-Fi security algorithm in the world. This is a function of age, backwards compatibility, and the fact that it appears first in the encryption type selection menus in many router control panels. WEP was ratified as a Wi-Fi security standard in September of 1999.
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- The matrix created includes 80 runs using 80 percent confidence and yields a power of test of 99 percent to detect a 2 sigma change in performance for Target Range, Location Defenses, and Seeker defenses. The power for Target Type and Target Aspect is 68 percent. The power for Sun Elevation is 56 percent.
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Is there a non-parametric equivalent of a 2-way ANOVA? The KW Test is for the one factor case only. In the two factor case, we have limited options available. When one of the two factors is a blocking factor, the we can use Friedman's Test for a nonparametric Randomized Complete Block Design. With a factorial experiment with two (or more factors), I opt for a rank based method that works very well.
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Confirmatory Factor Analysis But in confirmatory factor analysis (CFA), researchers can specify the number of factors required in the data and which measured variable is related to which latent variable. Confirmatory factor analysis (CFA) is a tool that is used to confirm or reject the measurement theory.
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- R Model Tree M5P in R. up vote 1 down vote favorite. I was wondering if the functionality given by Weka of building Model trees like M5P which has regression models in the leaves is possible in R. I know there is a way to handle it using the RWeka package.What was somehow strange to me is that the functionality does not exist in other R packages like rpart. Model Tree M5P in R. up vote 1 down vote favorite. I was wondering if the functionality given by Weka of building Model trees like M5P which has regression models in the leaves is possible in R. I know there is a way to handle it using the RWeka package.
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What is a 'Confidence Interval' A term used in inferential statistics that measures the probability that a population parameter will fall between two set values. The confidence interval can take any number of probabilities, with the most common being 95% or 99%.n other words, a confidence interval is the probability that a value will fall between an upper and lower bound of a probability distribution. For example, given a 99% confidence interval, stock XYZ's return will fall between -6.7% and +8.3% over the next year.
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- The next step is to find the t to use for the confidence interval (t CL). To calculate t CL, we need to know the degrees of freedom. The degrees of freedom is the number of independent estimates of variance on which MSE is based.
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Confidence Intervals The selection of a confidence level for an interval determines the probability that the confidence interval produced will contain the true parameter value. Common choices for the confidence level C are 0.90, 0.95, and 0.99. These levels correspond to percentages of the area of the normal density curve.
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- Multiple correlation coefficient, R, is a measure of the strength of the linear relationship between y and the set of variables x 1, x 2, … x p. It is the highest possible simple correlation between y and any linear combination of x 1, x 2 ,…., x p. This property explains that the computed value of R is never negative.
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It is important a psychometric assessment is Reliable As with validity coefficients, the closer the correlation coefficient is to 1 the better. While many personality tests are considered to have acceptable levels of reliability if they have reliability coefficients greater than r = .70, ability tests should have reliability coefficients greater than r = .80.
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- The total uncertainty factor of our standard buffer solutions is. max. ± 0,01 pH units, except solutions pH 10, 11, 12 and 13, where two point calibration is performed and uncertainty is max. ± 0,02 pH units.
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One-Way Analysis of Variance (ANOVA) The values of t to be used in a confidence interval can be looked up in a table of the t distribution. A small version of such a table is shown in Table 1. The first column, df, stands for degrees of freedom, and for confidence intervals on the mean, df is equal to N - 1, where N is the sample size. Table 1.