Brailowsky 1960

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   55  0.5227  0.0176  0.0466  0.0464  0.0462  0.04
Anderszewski 2003   52  0.5326  0.0149  0.0551  0.0549  0.0460  0.04
Ashkenazy 1981   44  0.5646  0.0045  0.0465  0.0470  0.0379  0.03
Bacha 2000   17  0.6621  0.0120  0.0718  0.3612  0.4710  0.41
Badura 1965   80  0.3336  0.0079  0.0479  0.0483  0.0275  0.03
Barbosa 1983   70  0.4333  0.0056  0.0477  0.0460  0.0459  0.04
Biret 1990   23  0.6466  0.0044  0.0543  0.1052  0.0448  0.06
Blet 2003   59  0.4965  0.0077  0.0381  0.0384  0.0285  0.02
Block 1995   14  0.6725  0.0117  0.0816  0.397  0.3814  0.38
Blumental 1952   81  0.3313  0.0255  0.0472  0.0470  0.0377  0.03
Boshniakovich 1969   11  0.718  0.0318  0.0921  0.3419  0.3021  0.32
Brailowsky 1960   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Bunin 1987   45  0.5671  0.0065  0.0556  0.0564  0.0464  0.04
Bunin 1987b   43  0.5672  0.0064  0.0555  0.0561  0.0456  0.04
Chiu 1999   39  0.5977  0.0025  0.0819  0.3524  0.3120  0.33
Cohen 1997   48  0.554  0.068  0.0717  0.374  0.528  0.44
Cortot 1951   77  0.3774  0.0082  0.0383  0.0376  0.0381  0.03
Csalog 1996   63  0.4851  0.0040  0.0539  0.1228  0.2828  0.18
Czerny 1949   73  0.4063  0.0073  0.0476  0.0478  0.0373  0.03
Czerny 1990   49  0.5555  0.0072  0.0553  0.0578  0.0365  0.04
Duchoud 2007   68  0.4687  0.0075  0.0475  0.0487  0.0274  0.03
Ezaki 2006   28  0.6312  0.0337  0.0542  0.1080  0.0349  0.05
Falvay 1989   2  0.762  0.123  0.141  0.5614  0.386  0.46
Farrell 1958   26  0.6423  0.0148  0.0745  0.0727  0.2033  0.12
Ferenczy 1958   67  0.4616  0.0178  0.0464  0.0465  0.0372  0.03
Fliere 1977   9  0.7250  0.0021  0.0713  0.3953  0.0529  0.14
Fou 1978   6  0.7222  0.017  0.076  0.4715  0.447  0.45
Francois 1956   62  0.4867  0.0066  0.0461  0.0483  0.0383  0.03
Friedman 1923   90  -0.1881  0.0090  0.0190  0.0184  0.0390  0.02
Friedman 1923b   89  -0.1788  0.0089  0.0289  0.0283  0.0389  0.02
Friedman 1930   85  0.0556  0.0085  0.0382  0.0384  0.0286  0.02
Garcia 2007   61  0.4961  0.0052  0.0459  0.0427  0.2539  0.10
Garcia 2007b   75  0.3854  0.0053  0.0548  0.057  0.4030  0.14
Gierzod 1998   40  0.5952  0.0043  0.0444  0.0980  0.0351  0.05
Gornostaeva 1994   19  0.6641  0.0035  0.0635  0.1544  0.0837  0.11
Groot 1988   8  0.726  0.055  0.085  0.4924  0.2518  0.35
Harasiewicz 1955   47  0.5549  0.0023  0.0725  0.2851  0.0534  0.12
Hatto 1993   78  0.3620  0.0139  0.0534  0.1649  0.0442  0.08
Hatto 1997   72  0.4175  0.0042  0.0737  0.1353  0.0444  0.07
Horowitz 1949   22  0.659  0.0312  0.099  0.4511  0.3811  0.41
Indjic 1988   76  0.3884  0.0041  0.0536  0.1449  0.0443  0.07
Kapell 1951   60  0.4940  0.0058  0.0467  0.0474  0.0368  0.03
Kissin 1993   12  0.6848  0.0024  0.0815  0.3928  0.2522  0.31
Kushner 1989   18  0.6685  0.0031  0.0532  0.2254  0.0440  0.09
Luisada 1991   4  0.7415  0.0219  0.0812  0.4016  0.3813  0.39
Lushtak 2004   50  0.5468  0.0054  0.0463  0.0477  0.0376  0.03
Malcuzynski 1961   13  0.6769  0.0032  0.0733  0.2071  0.0341  0.08
Magaloff 1978   1  0.771  0.211  0.202  0.5411  0.434  0.48
Magin 1975   33  0.6157  0.0028  0.1028  0.2819  0.2623  0.27
Michalowski 1933   84  0.1944  0.0074  0.0478  0.0455  0.0558  0.04
Milkina 1970   3  0.7511  0.034  0.133  0.536  0.492  0.51
Mohovich 1999   10  0.7110  0.0326  0.1024  0.3053  0.0436  0.11
Moravec 1969   53  0.5359  0.0050  0.0468  0.0456  0.0452  0.04
Morozova 2008   32  0.6119  0.0133  0.0631  0.2359  0.0438  0.10
Neighaus 1950   34  0.6082  0.0046  0.0473  0.0475  0.0380  0.03
Niedzielski 1931   69  0.4531  0.0051  0.0554  0.0520  0.2635  0.11
Ohlsson 1999   37  0.5939  0.0057  0.0474  0.0463  0.0370  0.03
Osinska 1989   35  0.6079  0.0061  0.0460  0.0445  0.0554  0.04
Pachmann 1927   41  0.5938  0.0022  0.0730  0.2518  0.4519  0.34
Paderewski 1930   58  0.5089  0.0071  0.0462  0.0462  0.0369  0.03
Perlemuter 1992   46  0.5578  0.0062  0.0549  0.0558  0.0453  0.04
Pierdomenico 2008   16  0.6662  0.0016  0.0814  0.3913  0.3415  0.36
Poblocka 1999   38  0.5964  0.0063  0.0647  0.0653  0.0450  0.05
Rabcewiczowa 1932   74  0.3853  0.0081  0.0480  0.0475  0.0367  0.03
Rachmaninoff 1923   66  0.4742  0.0067  0.0458  0.0445  0.0555  0.04
Rangell 2001   15  0.6732  0.0015  0.0711  0.4114  0.3017  0.35
Richter 1976   25  0.6480  0.0027  0.0923  0.3310  0.3916  0.36
Rosen 1989   21  0.6529  0.0130  0.0826  0.2830  0.2724  0.27
Rosenthal 1930   64  0.4858  0.0069  0.0550  0.0567  0.0363  0.04
Rosenthal 1931   30  0.6247  0.0014  0.0810  0.419  0.469  0.43
Rosenthal 1931b   27  0.6460  0.006  0.087  0.466  0.505  0.48
Rosenthal 1931c   57  0.5070  0.0060  0.0471  0.0466  0.0382  0.03
Rosenthal 1931d   5  0.723  0.072  0.154  0.525  0.551  0.53
Rossi 2007   79  0.347  0.0434  0.0640  0.1027  0.1631  0.13
Rubinstein 1939   56  0.515  0.059  0.0827  0.283  0.5612  0.40
Rubinstein 1952   7  0.7214  0.0213  0.098  0.469  0.543  0.50
Rubinstein 1966   42  0.5730  0.0138  0.0541  0.1033  0.1832  0.13
Schilhawsky 1960   65  0.4745  0.0068  0.0646  0.0679  0.0361  0.04
Shebanova 2002   20  0.6634  0.0029  0.0729  0.2630  0.2526  0.25
Smith 1975   29  0.6324  0.0136  0.0738  0.1372  0.0346  0.06
Sokolov 2002   54  0.5243  0.0070  0.0457  0.0479  0.0366  0.03
Sztompka 1959   83  0.2973  0.0083  0.0288  0.0287  0.0284  0.02
Tomsic 1995   24  0.6418  0.0147  0.0552  0.0574  0.0357  0.04
Uninsky 1932   82  0.3076  0.0084  0.0284  0.0288  0.0287  0.02
Uninsky 1971   71  0.4228  0.0180  0.0469  0.0483  0.0271  0.03
Wasowski 1980   51  0.5337  0.0059  0.0470  0.0441  0.1045  0.06
Zak 1937   31  0.6135  0.0011  0.0922  0.3435  0.2025  0.26
Zak 1951   36  0.6017  0.0110  0.0620  0.3543  0.1427  0.22
Random 1   87  -0.0390  0.0088  0.0287  0.0235  0.1747  0.06
Random 2   88  -0.1686  0.0087  0.0286  0.0252  0.0388  0.02
Random 3   86  0.0483  0.0086  0.0285  0.0255  0.0578  0.03

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).