Friedman 1923b

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   44  0.2011  0.0027  0.0831  0.2087  0.0240  0.06
Anderszewski 2003   54  0.1724  0.0054  0.0556  0.0572  0.0361  0.04
Ashkenazy 1981   13  0.336  0.0019  0.0718  0.3682  0.0331  0.10
Bacha 2000   76  0.0525  0.0083  0.0383  0.0388  0.0280  0.02
Badura 1965   31  0.2426  0.0022  0.0626  0.2862  0.0427  0.11
Barbosa 1983   57  0.1727  0.0065  0.0475  0.0481  0.0372  0.03
Biret 1990   55  0.1728  0.0056  0.0650  0.0677  0.0364  0.04
Blet 2003   12  0.348  0.0011  0.1014  0.4561  0.0518  0.15
Block 1995   51  0.185  0.0025  0.0635  0.1685  0.0241  0.06
Blumental 1952   26  0.2629  0.0018  0.0919  0.3629  0.248  0.29
Boshniakovich 1969   42  0.2130  0.0036  0.0733  0.1860  0.0435  0.08
Brailowsky 1960   83  0.0012  0.0081  0.0284  0.0288  0.0282  0.02
Bunin 1987   15  0.3131  0.0015  0.1213  0.4643  0.1210  0.23
Bunin 1987b   14  0.3132  0.0014  0.0911  0.4643  0.129  0.23
Chiu 1999   16  0.3033  0.0021  0.0727  0.2758  0.0429  0.10
Cohen 1997   87  -0.0734  0.0088  0.0288  0.0289  0.0288  0.02
Cortot 1951   28  0.2635  0.0023  0.0622  0.3258  0.0524  0.13
Csalog 1996   84  -0.0136  0.0087  0.0381  0.0388  0.0286  0.02
Czerny 1949   66  0.1337  0.0045  0.0557  0.0557  0.0548  0.05
Czerny 1990   33  0.2313  0.0010  0.0812  0.4662  0.0519  0.15
Duchoud 2007   10  0.3514  0.0012  0.1310  0.4750  0.0616  0.17
Ezaki 2006   47  0.2015  0.0049  0.0745  0.0773  0.0343  0.05
Falvay 1989   85  -0.0316  0.0085  0.0379  0.0386  0.0283  0.02
Farrell 1958   21  0.2738  0.0034  0.0728  0.2754  0.0430  0.10
Ferenczy 1958   82  0.0039  0.0075  0.0476  0.0487  0.0273  0.03
Fliere 1977   8  0.352  0.0016  0.1015  0.4471  0.0422  0.13
Fou 1978   75  0.0840  0.0076  0.0477  0.0487  0.0268  0.03
Francois 1956   73  0.1017  0.0050  0.0746  0.0771  0.0351  0.05
Friedman 1923   1  0.991  1.001  0.991  1.001  1.001  1.00
Friedman 1923b   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Friedman 1930   2  0.689  0.002  0.732  0.822  0.782  0.80
Garcia 2007   17  0.3010  0.0029  0.0824  0.2921  0.357  0.32
Garcia 2007b   29  0.257  0.0035  0.0634  0.1622  0.3111  0.22
Gierzod 1998   43  0.2141  0.0039  0.0540  0.1285  0.0249  0.05
Gornostaeva 1994   63  0.1642  0.0032  0.0639  0.1280  0.0342  0.06
Groot 1988   58  0.1643  0.0047  0.0562  0.0584  0.0279  0.03
Harasiewicz 1955   39  0.2244  0.0051  0.0560  0.0557  0.0466  0.04
Hatto 1993   23  0.2745  0.0053  0.0558  0.0586  0.0365  0.04
Hatto 1997   35  0.2346  0.0058  0.0561  0.0582  0.0362  0.04
Horowitz 1949   53  0.1847  0.0059  0.0563  0.0576  0.0359  0.04
Indjic 1988   27  0.2648  0.0055  0.0649  0.0687  0.0271  0.03
Kapell 1951   38  0.2249  0.0028  0.0729  0.2540  0.1313  0.18
Kissin 1993   78  0.0318  0.0077  0.0467  0.0488  0.0270  0.03
Kushner 1989   32  0.2450  0.0048  0.0554  0.0584  0.0356  0.04
Luisada 1991   50  0.1851  0.0067  0.0468  0.0474  0.0452  0.04
Lushtak 2004   30  0.2452  0.0043  0.0543  0.1087  0.0263  0.04
Malcuzynski 1961   22  0.2753  0.0026  0.0720  0.3553  0.0523  0.13
Magaloff 1978   40  0.2254  0.0040  0.0538  0.1280  0.0338  0.06
Magin 1975   37  0.2255  0.0041  0.0444  0.1073  0.0346  0.05
Michalowski 1933   7  0.3656  0.006  0.178  0.5028  0.346  0.41
Milkina 1970   88  -0.0757  0.0086  0.0287  0.0289  0.0284  0.02
Mohovich 1999   68  0.1258  0.0066  0.0564  0.0585  0.0276  0.03
Moravec 1969   72  0.1059  0.0064  0.0378  0.0387  0.0281  0.02
Morozova 2008   18  0.2960  0.0020  0.0717  0.3887  0.0233  0.09
Neighaus 1950   9  0.3561  0.009  0.086  0.5172  0.0421  0.14
Niedzielski 1931   48  0.1962  0.0031  0.0732  0.1838  0.1217  0.15
Ohlsson 1999   19  0.2819  0.0030  0.0823  0.2983  0.0332  0.09
Osinska 1989   61  0.1663  0.0061  0.0559  0.0584  0.0354  0.04
Pachmann 1927   65  0.1364  0.0073  0.0651  0.0677  0.0360  0.04
Paderewski 1930   41  0.213  0.0024  0.0725  0.2939  0.1212  0.19
Perlemuter 1992   24  0.2765  0.0013  0.1021  0.3383  0.0328  0.10
Pierdomenico 2008   56  0.174  0.0070  0.0653  0.0662  0.0445  0.05
Poblocka 1999   45  0.2066  0.0042  0.0441  0.1163  0.0437  0.07
Rabcewiczowa 1932   67  0.1367  0.0057  0.0648  0.0669  0.0355  0.04
Rachmaninoff 1923   4  0.4168  0.004  0.314  0.6715  0.424  0.53
Rangell 2001   64  0.1569  0.0062  0.0472  0.0477  0.0377  0.03
Richter 1976   70  0.1170  0.0074  0.0471  0.0484  0.0369  0.03
Rosen 1989   6  0.3771  0.007  0.117  0.5169  0.0420  0.14
Rosenthal 1930   25  0.2672  0.0033  0.0530  0.2245  0.0725  0.12
Rosenthal 1931   69  0.1273  0.0072  0.0747  0.0774  0.0347  0.05
Rosenthal 1931b   59  0.1674  0.0060  0.0566  0.0566  0.0467  0.04
Rosenthal 1931c   36  0.2275  0.0037  0.0536  0.1562  0.0436  0.08
Rosenthal 1931d   71  0.1076  0.0071  0.0470  0.0479  0.0278  0.03
Rossi 2007   74  0.0920  0.0046  0.0652  0.0632  0.1926  0.11
Rubinstein 1939   89  -0.1121  0.0090  0.0190  0.0189  0.0189  0.01
Rubinstein 1952   90  -0.1977  0.0089  0.0189  0.0189  0.0290  0.01
Rubinstein 1966   79  0.0378  0.0084  0.0285  0.0287  0.0287  0.02
Schilhawsky 1960   11  0.3522  0.0017  0.1316  0.4045  0.0715  0.17
Shebanova 2002   60  0.1679  0.0063  0.0474  0.0484  0.0374  0.03
Smith 1975   49  0.1980  0.0038  0.0537  0.1280  0.0339  0.06
Sokolov 2002   34  0.2381  0.0044  0.0542  0.1074  0.0344  0.05
Sztompka 1959   5  0.4182  0.005  0.355  0.5827  0.345  0.44
Tomsic 1995   80  0.0183  0.0078  0.0473  0.0487  0.0185  0.02
Uninsky 1932   3  0.4323  0.003  0.343  0.6710  0.483  0.57
Uninsky 1971   20  0.2884  0.008  0.139  0.5050  0.0614  0.17
Wasowski 1980   46  0.2085  0.0052  0.0565  0.0574  0.0453  0.04
Zak 1937   52  0.1886  0.0068  0.0555  0.0578  0.0357  0.04
Zak 1951   62  0.1687  0.0069  0.0469  0.0473  0.0458  0.04
Random 1   81  0.0188  0.0080  0.0380  0.0318  0.2934  0.09
Random 2   86  -0.0489  0.0082  0.0286  0.0259  0.0475  0.03
Random 3   77  0.0390  0.0079  0.0382  0.0342  0.0950  0.05

Note: To load data table give above into Excel, copy and paste the data into a text editor (such as WordPad) first, then copy the text in the editor and past into Excel. You should remove the "target" line from the data before pasting into Excel so that plotting graphs of the data is done properly.

Column descriptions

  • Performance:
  • 0-Rank/0-Score: 0-Score is equivalent to Pearson correlation of the entire data sequence between the reference performance and a test performance. 0-Rank is the sorting order of the 0-scores (highest score has a rank of 1).
  • 1-Rank/1-Score: 1-Score is the area fraction covered by a particular performance in the scape plot (see image above). These values should not be taken literally, since they are sensitive to the Hatto Effect.
  • 2-Rank/2-Score: 2-Score values are equivalent to 1-Score values with all higher-ranking performances removed before the calculation of the area of coverage in the scape is calculated. Improvment over the 1-Rank scores, but still somewhat sensitive to the Hatto Effect.
  • 3-Rank/3-Score: Similar to 2-Rank calculations. The bottom 1/2 of the 2-rank performances are kept constant as a noise floor for the similarity measurement. Then one-by-one the top 1/2 of the 2-rank performances are superimposed with the noise-floor performances, and a 3-score is measured as the area covered in the scape. This measure is not sentisive to the Hatto Effect.
  • 3R-Rank/3R-Score: Reverse 3-rank/3-scores. 3-rankings and scores are not symmetric (A->B values are different from B->A values). So this column represents similarity measures in the opposite direction.
  • 4-Rank/4-Score: The geometric mean between 3-scores and 3R-scores. This column gives the best overall similarity ranking between the various performances (see color codes below).
  • NED: Noise Equivalient Distance (not yet implemented)

Color codes for 3-rank listings:

  • red = strongly similar performance to target
  • orange = moderately similar performance
  • yellow = weakly similar performance
  • green = marginally similar/dissimilar performance
  • white = dissimilar to target
  • blue = false positive (has high 3-rank score but low 3R-rank score)

3-rank/scores are not symmetric, so the 3R-rank/score columns give the 3-rank/scores going in the opposite direction. More matches in the 3-rank column than in the 3R-rank column indicates an individualistic performance, while more matches in the 3R-rank column indicates a mainstream performance.

If a 3-rank and a 3R-rank are both marked as similar to each other, then there is a possible direct relation between the performances. If one is similar to the other but not in the reverse direction, then the similarity is more likely to be by chance (performers randomly chose a similar interpretation).