Rabcewiczowa 1932

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   12  0.5721  0.008  0.138  0.6218  0.3811  0.49
Anderszewski 2003   49  0.4050  0.0039  0.0643  0.1381  0.0250  0.05
Ashkenazy 1981   55  0.3754  0.0052  0.0555  0.0576  0.0364  0.04
Bacha 2000   65  0.3357  0.0059  0.0463  0.0481  0.0370  0.03
Badura 1965   60  0.3563  0.0064  0.0460  0.0475  0.0380  0.03
Barbosa 1983   38  0.4414  0.0120  0.0821  0.4333  0.2919  0.35
Biret 1990   10  0.583  0.0811  0.1813  0.5615  0.478  0.51
Blet 2003   54  0.3873  0.0048  0.0645  0.0676  0.0451  0.05
Block 1995   50  0.4034  0.0050  0.0549  0.0560  0.0463  0.04
Blumental 1952   63  0.3484  0.0040  0.0636  0.1967  0.0440  0.09
Boshniakovich 1969   42  0.4324  0.0058  0.0458  0.0464  0.0381  0.03
Brailowsky 1960   64  0.3485  0.0080  0.0368  0.0380  0.0371  0.03
Bunin 1987   35  0.4438  0.0042  0.0835  0.1952  0.0632  0.11
Bunin 1987b   36  0.4445  0.0043  0.0938  0.1954  0.0533  0.10
Chiu 1999   66  0.3325  0.0061  0.0466  0.0471  0.0458  0.04
Cohen 1997   72  0.2943  0.0060  0.0465  0.0449  0.0653  0.05
Cortot 1951   15  0.5612  0.0112  0.1215  0.537  0.509  0.51
Csalog 1996   74  0.2886  0.0084  0.0282  0.0262  0.0578  0.03
Czerny 1949   1  0.701  0.351  0.351  0.793  0.741  0.76
Czerny 1990   14  0.5641  0.0022  0.1023  0.4055  0.0526  0.14
Duchoud 2007   30  0.4674  0.0041  0.0837  0.1960  0.0439  0.09
Ezaki 2006   6  0.606  0.0510  0.1311  0.5833  0.2020  0.34
Falvay 1989   41  0.4370  0.0049  0.0648  0.0666  0.0448  0.05
Farrell 1958   29  0.4640  0.0023  0.0924  0.3910  0.4513  0.42
Ferenczy 1958   18  0.5215  0.0113  0.1417  0.4913  0.4612  0.47
Fliere 1977   40  0.4380  0.0062  0.0462  0.0473  0.0457  0.04
Fou 1978   71  0.3175  0.0057  0.0457  0.0468  0.0460  0.04
Francois 1956   5  0.602  0.152  0.276  0.6611  0.504  0.57
Friedman 1923   86  0.1351  0.0073  0.0378  0.0359  0.0669  0.04
Friedman 1923b   87  0.1376  0.0074  0.0369  0.0348  0.0665  0.04
Friedman 1930   59  0.3537  0.0047  0.0550  0.0553  0.0552  0.05
Garcia 2007   81  0.1964  0.0081  0.0279  0.0280  0.0387  0.02
Garcia 2007b   82  0.1987  0.0083  0.0285  0.0271  0.0389  0.02
Gierzod 1998   23  0.4942  0.0025  0.1022  0.4248  0.0624  0.16
Gornostaeva 1994   2  0.675  0.053  0.223  0.7210  0.542  0.62
Groot 1988   25  0.4758  0.0038  0.0640  0.1853  0.0444  0.08
Harasiewicz 1955   39  0.448  0.0315  0.1516  0.5055  0.0427  0.14
Hatto 1993   83  0.1877  0.0076  0.0283  0.0273  0.0388  0.02
Hatto 1997   67  0.3260  0.0032  0.0733  0.2252  0.0536  0.10
Horowitz 1949   61  0.3481  0.0079  0.0377  0.0383  0.0374  0.03
Indjic 1988   84  0.1888  0.0075  0.0280  0.0276  0.0386  0.02
Kapell 1951   16  0.5446  0.0021  0.1118  0.4630  0.3216  0.38
Kissin 1993   68  0.3255  0.0071  0.0374  0.0371  0.0476  0.03
Kushner 1989   27  0.4782  0.0053  0.0556  0.0558  0.0461  0.04
Luisada 1991   47  0.4065  0.0056  0.0461  0.0465  0.0455  0.04
Lushtak 2004   48  0.4059  0.0028  0.0627  0.3246  0.0625  0.14
Malcuzynski 1961   20  0.5078  0.0029  0.0729  0.2679  0.0338  0.09
Magaloff 1978   24  0.484  0.0519  0.0934  0.2070  0.0341  0.08
Magin 1975   73  0.2889  0.0082  0.0281  0.0282  0.0384  0.02
Michalowski 1933   31  0.4620  0.0024  0.1120  0.4322  0.3715  0.40
Milkina 1970   43  0.4319  0.0036  0.0639  0.1851  0.0537  0.09
Mohovich 1999   13  0.5629  0.0017  0.1212  0.5733  0.2317  0.36
Moravec 1969   46  0.4139  0.0055  0.0553  0.0573  0.0354  0.04
Morozova 2008   33  0.4583  0.0033  0.0731  0.2357  0.0435  0.10
Neighaus 1950   7  0.609  0.034  0.144  0.7026  0.3610  0.50
Niedzielski 1931   75  0.2771  0.0085  0.0286  0.0275  0.0383  0.02
Ohlsson 1999   21  0.5018  0.0130  0.0630  0.2564  0.0434  0.10
Osinska 1989   3  0.6511  0.015  0.112  0.729  0.503  0.60
Pachmann 1927   78  0.2428  0.0072  0.0375  0.0366  0.0475  0.03
Paderewski 1930   28  0.4710  0.0131  0.0828  0.2947  0.0629  0.13
Perlemuter 1992   45  0.4290  0.0044  0.0644  0.1354  0.0445  0.07
Pierdomenico 2008   37  0.4452  0.0054  0.0551  0.0551  0.0549  0.05
Poblocka 1999   19  0.5032  0.0027  0.0826  0.3448  0.0528  0.13
Rabcewiczowa 1932   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rachmaninoff 1923   51  0.3961  0.0046  0.0646  0.0677  0.0359  0.04
Rangell 2001   44  0.4236  0.0034  0.0741  0.1667  0.0346  0.07
Richter 1976   77  0.2572  0.0086  0.0284  0.0286  0.0285  0.02
Rosen 1989   17  0.5427  0.0018  0.1514  0.5428  0.3114  0.41
Rosenthal 1930   34  0.4522  0.0037  0.0742  0.1533  0.3022  0.21
Rosenthal 1931   80  0.2262  0.0069  0.0376  0.0358  0.0477  0.03
Rosenthal 1931b   79  0.2248  0.0070  0.0467  0.0447  0.0567  0.04
Rosenthal 1931c   56  0.3731  0.0065  0.0552  0.0542  0.1047  0.07
Rosenthal 1931d   76  0.2623  0.0066  0.0464  0.0460  0.0466  0.04
Rossi 2007   52  0.3956  0.0045  0.0459  0.0411  0.3930  0.12
Rubinstein 1939   85  0.1566  0.0088  0.0289  0.0274  0.0382  0.02
Rubinstein 1952   58  0.3647  0.0067  0.0372  0.0354  0.0668  0.04
Rubinstein 1966   32  0.4530  0.0035  0.0732  0.2341  0.1323  0.17
Schilhawsky 1960   57  0.3744  0.0063  0.0647  0.0671  0.0362  0.04
Shebanova 2002   62  0.3467  0.0078  0.0373  0.0377  0.0379  0.03
Smith 1975   4  0.6217  0.016  0.125  0.6816  0.387  0.51
Sokolov 2002   11  0.5726  0.0014  0.1310  0.5839  0.2118  0.35
Sztompka 1959   8  0.597  0.047  0.149  0.5911  0.475  0.53
Tomsic 1995   26  0.4716  0.0126  0.0925  0.3657  0.0431  0.12
Uninsky 1932   22  0.5035  0.0016  0.1219  0.4535  0.1821  0.28
Uninsky 1971   9  0.5913  0.019  0.147  0.6215  0.456  0.53
Wasowski 1980   53  0.3969  0.0051  0.0554  0.0562  0.0456  0.04
Zak 1937   70  0.3179  0.0077  0.0371  0.0380  0.0372  0.03
Zak 1951   69  0.3268  0.0068  0.0370  0.0372  0.0473  0.03
Random 1   90  -0.1053  0.0090  0.0190  0.0184  0.0290  0.01
Random 2   88  0.0433  0.0087  0.0288  0.0211  0.3642  0.08
Random 3   89  0.0349  0.0089  0.0287  0.0223  0.3243  0.08

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).