Michalowski 1933

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   68  0.2460  0.0056  0.0557  0.0581  0.0278  0.03
Anderszewski 2003   12  0.4618  0.0110  0.1011  0.4515  0.489  0.46
Ashkenazy 1981   1  0.561  0.251  0.241  0.5815  0.461  0.52
Bacha 2000   78  0.1616  0.0162  0.0380  0.0360  0.0470  0.03
Badura 1965   51  0.3276  0.0065  0.0461  0.0457  0.0465  0.04
Barbosa 1983   60  0.2964  0.0043  0.0742  0.1551  0.0547  0.09
Biret 1990   36  0.3783  0.0036  0.0735  0.2636  0.1831  0.22
Blet 2003   30  0.3834  0.0016  0.0718  0.4127  0.3022  0.35
Block 1995   43  0.3615  0.0148  0.0646  0.0629  0.2437  0.12
Blumental 1952   25  0.4042  0.0013  0.0713  0.425  0.5011  0.46
Boshniakovich 1969   41  0.3655  0.0060  0.0474  0.0468  0.0380  0.03
Brailowsky 1960   74  0.2047  0.0079  0.0463  0.0482  0.0371  0.03
Bunin 1987   33  0.3867  0.0029  0.0726  0.3637  0.1828  0.25
Bunin 1987b   31  0.3868  0.0030  0.0825  0.3638  0.1727  0.25
Chiu 1999   45  0.3530  0.0042  0.0640  0.1752  0.0546  0.09
Cohen 1997   75  0.1920  0.0178  0.0469  0.0468  0.0468  0.04
Cortot 1951   27  0.3975  0.0027  0.0819  0.4020  0.3521  0.37
Csalog 1996   80  0.1436  0.0077  0.0383  0.0359  0.0562  0.04
Czerny 1949   39  0.3671  0.0037  0.0641  0.1642  0.1334  0.14
Czerny 1990   13  0.4558  0.0017  0.0715  0.4240  0.1429  0.24
Duchoud 2007   8  0.4625  0.016  0.1210  0.4517  0.4413  0.44
Ezaki 2006   49  0.3380  0.0061  0.0551  0.0577  0.0354  0.04
Falvay 1989   76  0.1823  0.0158  0.0460  0.0472  0.0456  0.04
Farrell 1958   67  0.2585  0.0063  0.0471  0.0481  0.0373  0.03
Ferenczy 1958   53  0.3177  0.0022  0.0731  0.2917  0.4023  0.34
Fliere 1977   17  0.4429  0.0039  0.0638  0.1754  0.0544  0.09
Fou 1978   81  0.1369  0.0081  0.0472  0.0482  0.0374  0.03
Francois 1956   63  0.2863  0.0055  0.0462  0.0482  0.0384  0.03
Friedman 1923   44  0.3653  0.0026  0.0829  0.336  0.5117  0.41
Friedman 1923b   40  0.3662  0.0025  0.0928  0.348  0.5015  0.41
Friedman 1930   5  0.4913  0.0118  0.0816  0.429  0.526  0.47
Garcia 2007   48  0.3365  0.0053  0.0559  0.058  0.6333  0.18
Garcia 2007b   23  0.4210  0.0224  0.0724  0.363  0.713  0.51
Gierzod 1998   42  0.3649  0.0033  0.0727  0.3550  0.0535  0.13
Gornostaeva 1994   50  0.3256  0.0049  0.0553  0.0572  0.0369  0.04
Groot 1988   46  0.3519  0.0145  0.0647  0.0658  0.0453  0.05
Harasiewicz 1955   19  0.4348  0.0032  0.0734  0.2653  0.0443  0.10
Hatto 1993   32  0.3850  0.0015  0.0712  0.4212  0.4116  0.41
Hatto 1997   59  0.2959  0.0023  0.0937  0.2420  0.3625  0.29
Horowitz 1949   61  0.2954  0.0071  0.0476  0.0479  0.0376  0.03
Indjic 1988   47  0.3532  0.0011  0.0721  0.3815  0.3720  0.37
Kapell 1951   4  0.494  0.053  0.295  0.4718  0.457  0.46
Kissin 1993   73  0.2172  0.0076  0.0379  0.0384  0.0286  0.02
Kushner 1989   24  0.4022  0.0121  0.1023  0.3627  0.2824  0.32
Luisada 1991   18  0.4414  0.0119  0.0814  0.4223  0.3419  0.38
Lushtak 2004   58  0.3084  0.0054  0.0552  0.0577  0.0366  0.04
Malcuzynski 1961   38  0.3641  0.0046  0.0648  0.0672  0.0358  0.04
Magaloff 1978   35  0.377  0.0347  0.0555  0.0562  0.0355  0.04
Magin 1975   28  0.399  0.0250  0.0650  0.0630  0.2239  0.11
Michalowski 1933   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Milkina 1970   77  0.188  0.0272  0.0473  0.0476  0.0457  0.04
Mohovich 1999   64  0.2770  0.0064  0.0465  0.0469  0.0467  0.04
Moravec 1969   65  0.2737  0.0044  0.0644  0.1154  0.0550  0.07
Morozova 2008   26  0.3926  0.0138  0.0636  0.2461  0.0442  0.10
Neighaus 1950   21  0.4339  0.0034  0.0630  0.3061  0.0538  0.12
Niedzielski 1931   56  0.3038  0.0057  0.0745  0.0733  0.1441  0.10
Ohlsson 1999   16  0.4427  0.0112  0.0717  0.4239  0.1330  0.23
Osinska 1989   20  0.4333  0.0040  0.0543  0.1445  0.0740  0.10
Pachmann 1927   82  0.1245  0.0082  0.0477  0.0478  0.0377  0.03
Paderewski 1930   6  0.4731  0.0014  0.098  0.4515  0.4114  0.43
Perlemuter 1992   34  0.386  0.0328  0.0732  0.2738  0.1432  0.19
Pierdomenico 2008   52  0.3273  0.0073  0.0478  0.0473  0.0372  0.03
Poblocka 1999   10  0.465  0.044  0.194  0.4711  0.4312  0.45
Rabcewiczowa 1932   11  0.4644  0.0031  0.1022  0.3720  0.4318  0.40
Rachmaninoff 1923   54  0.3135  0.0052  0.0558  0.0549  0.0551  0.05
Rangell 2001   70  0.2328  0.0074  0.0381  0.0384  0.0288  0.02
Richter 1976   57  0.3011  0.0259  0.0554  0.0568  0.0361  0.04
Rosen 1989   37  0.3774  0.0051  0.0649  0.0667  0.0452  0.05
Rosenthal 1930   62  0.2878  0.0069  0.0468  0.0456  0.0464  0.04
Rosenthal 1931   86  0.0688  0.0085  0.0286  0.0281  0.0287  0.02
Rosenthal 1931b   84  0.0886  0.0083  0.0475  0.0487  0.0282  0.03
Rosenthal 1931c   71  0.2381  0.0075  0.0467  0.0477  0.0383  0.03
Rosenthal 1931d   85  0.0689  0.0086  0.0384  0.0374  0.0381  0.03
Rossi 2007   55  0.3024  0.0167  0.0382  0.0320  0.2945  0.09
Rubinstein 1939   88  0.0246  0.0088  0.0285  0.0282  0.0385  0.02
Rubinstein 1952   83  0.0861  0.0087  0.0287  0.0278  0.0389  0.02
Rubinstein 1966   79  0.1679  0.0080  0.0464  0.0458  0.0563  0.04
Schilhawsky 1960   9  0.4617  0.019  0.109  0.459  0.515  0.48
Shebanova 2002   29  0.3912  0.0241  0.0639  0.1759  0.0548  0.09
Smith 1975   15  0.4557  0.0020  0.0720  0.3972  0.0436  0.12
Sokolov 2002   7  0.473  0.135  0.172  0.5716  0.414  0.48
Sztompka 1959   2  0.562  0.182  0.293  0.493  0.532  0.51
Tomsic 1995   66  0.2566  0.0068  0.0466  0.0467  0.0460  0.04
Uninsky 1932   3  0.4921  0.018  0.167  0.4611  0.4710  0.46
Uninsky 1971   14  0.4551  0.007  0.176  0.4614  0.478  0.46
Wasowski 1980   22  0.4252  0.0035  0.0733  0.2732  0.2326  0.25
Zak 1937   72  0.2243  0.0070  0.0470  0.0485  0.0375  0.03
Zak 1951   69  0.2440  0.0066  0.0556  0.0576  0.0359  0.04
Random 1   89  -0.0290  0.0089  0.0289  0.0245  0.0679  0.03
Random 2   90  -0.0487  0.0090  0.0190  0.0179  0.0290  0.01
Random 3   87  0.0482  0.0084  0.0288  0.0217  0.3549  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).