Rabcewiczowa 1932

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   13  0.7016  0.0120  0.0519  0.3054  0.0541  0.12
Anderszewski 2003   59  0.5636  0.0073  0.0469  0.0459  0.0468  0.04
Ashkenazy 1981   58  0.5725  0.0054  0.0466  0.0464  0.0473  0.04
Bacha 2000   45  0.6287  0.0042  0.0541  0.1135  0.1337  0.12
Badura 1965   77  0.4884  0.0079  0.0383  0.0376  0.0487  0.03
Barbosa 1983   80  0.4454  0.0043  0.0443  0.0928  0.2133  0.14
Biret 1990   5  0.7532  0.009  0.1211  0.3914  0.4211  0.40
Blet 2003   24  0.6635  0.0036  0.0628  0.2324  0.2921  0.26
Block 1995   83  0.4246  0.0082  0.0463  0.0466  0.0472  0.04
Blumental 1952   3  0.772  0.172  0.256  0.485  0.416  0.44
Boshniakovich 1969   75  0.5064  0.0081  0.0380  0.0378  0.0388  0.03
Brailowsky 1960   38  0.6368  0.0056  0.0459  0.0438  0.1747  0.08
Bunin 1987   86  0.3448  0.0087  0.0476  0.0465  0.0574  0.04
Bunin 1987b   87  0.3341  0.0086  0.0385  0.0363  0.0565  0.04
Chiu 1999   47  0.6170  0.0038  0.0535  0.1421  0.2726  0.19
Cohen 1997   72  0.5191  0.0053  0.0555  0.0511  0.3935  0.14
Cortot 1951   60  0.5585  0.0074  0.0382  0.0346  0.0679  0.04
Csalog 1996   35  0.6324  0.0034  0.0531  0.216  0.4617  0.31
Czerny 1949   61  0.5443  0.0065  0.0474  0.0460  0.0471  0.04
Czerny 1990   4  0.751  0.181  0.185  0.4810  0.454  0.46
Duchoud 2007   85  0.3951  0.0083  0.0472  0.0476  0.0386  0.03
Ezaki 2006   48  0.6150  0.0051  0.0746  0.0763  0.0457  0.05
Falvay 1989   20  0.6842  0.0032  0.0625  0.2618  0.4715  0.35
Farrell 1958   39  0.6347  0.0021  0.0712  0.3430  0.3016  0.32
Ferenczy 1958   53  0.5856  0.0058  0.0464  0.0465  0.0470  0.04
Fliere 1977   30  0.6576  0.0045  0.0444  0.0973  0.0454  0.06
Fou 1978   6  0.7417  0.017  0.114  0.4910  0.462  0.47
Francois 1956   10  0.7227  0.0010  0.139  0.417  0.533  0.47
Friedman 1923   76  0.4959  0.0078  0.0388  0.0360  0.0581  0.04
Friedman 1923b   78  0.4881  0.0077  0.0384  0.0363  0.0575  0.04
Friedman 1930   67  0.5358  0.0076  0.0470  0.0451  0.0761  0.05
Garcia 2007   22  0.6752  0.0039  0.0638  0.1335  0.2030  0.16
Garcia 2007b   28  0.6560  0.0040  0.0833  0.1765  0.0449  0.08
Gierzod 1998   41  0.6244  0.0041  0.0442  0.1062  0.0553  0.07
Gornostaeva 1994   52  0.5831  0.0060  0.0458  0.0451  0.0576  0.04
Groot 1988   63  0.5462  0.0062  0.0465  0.0466  0.0477  0.04
Harasiewicz 1955   62  0.5453  0.0067  0.0478  0.0464  0.0580  0.04
Hatto 1993   74  0.5079  0.0070  0.0554  0.0580  0.0378  0.04
Hatto 1997   70  0.5282  0.0069  0.0460  0.0480  0.0469  0.04
Horowitz 1949   79  0.458  0.0485  0.0477  0.0467  0.0567  0.04
Indjic 1988   69  0.5271  0.0068  0.0471  0.0452  0.0660  0.05
Kapell 1951   9  0.7313  0.028  0.103  0.4926  0.1719  0.29
Kissin 1993   17  0.6918  0.0117  0.0726  0.2451  0.0444  0.10
Kushner 1989   2  0.775  0.063  0.151  0.596  0.551  0.57
Luisada 1991   33  0.6483  0.0030  0.0624  0.2652  0.0638  0.12
Lushtak 2004   25  0.6665  0.0015  0.0914  0.3223  0.2520  0.28
Malcuzynski 1961   84  0.3939  0.0084  0.0387  0.0383  0.0383  0.03
Magaloff 1978   16  0.6973  0.0033  0.0629  0.2314  0.3918  0.30
Magin 1975   54  0.5821  0.0126  0.0639  0.1241  0.1142  0.11
Michalowski 1933   46  0.624  0.0616  0.0837  0.1434  0.2029  0.17
Milkina 1970   12  0.7263  0.0031  0.0527  0.2344  0.1428  0.18
Mohovich 1999   19  0.6880  0.0037  0.0632  0.2068  0.0545  0.10
Moravec 1969   15  0.6926  0.0027  0.0716  0.3111  0.5013  0.39
Morozova 2008   32  0.6430  0.0035  0.0530  0.2138  0.1727  0.19
Neighaus 1950   65  0.5377  0.0075  0.0462  0.0447  0.0762  0.05
Niedzielski 1931   51  0.6066  0.0046  0.0457  0.0441  0.1452  0.07
Ohlsson 1999   66  0.5323  0.0064  0.0381  0.0387  0.0385  0.03
Osinska 1989   26  0.6661  0.0044  0.0445  0.0877  0.0455  0.06
Pachmann 1927   42  0.6229  0.0055  0.0461  0.049  0.4336  0.13
Paderewski 1930   8  0.7322  0.0114  0.1220  0.306  0.5014  0.39
Perlemuter 1992   7  0.7312  0.026  0.107  0.4315  0.389  0.40
Pierdomenico 2008   81  0.4355  0.0072  0.0468  0.0442  0.1451  0.07
Poblocka 1999   55  0.5740  0.0052  0.0551  0.0557  0.0558  0.05
Rabcewiczowa 1932   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rachmaninoff 1923   23  0.6710  0.0322  0.0621  0.2929  0.2122  0.25
Rangell 2001   82  0.4257  0.0080  0.0386  0.0363  0.0389  0.03
Richter 1976   88  0.3020  0.0188  0.0475  0.0477  0.0384  0.03
Rosen 1989   21  0.6788  0.0029  0.0518  0.3138  0.1425  0.21
Rosenthal 1930   43  0.6215  0.0228  0.0636  0.1415  0.3324  0.21
Rosenthal 1931   29  0.6528  0.0025  0.0822  0.287  0.5610  0.40
Rosenthal 1931b   27  0.6534  0.0023  0.0815  0.327  0.587  0.43
Rosenthal 1931c   34  0.649  0.0424  0.0817  0.315  0.548  0.41
Rosenthal 1931d   40  0.636  0.0619  0.0623  0.286  0.5712  0.40
Rossi 2007   64  0.5449  0.0071  0.0379  0.0339  0.1550  0.07
Rubinstein 1939   50  0.6167  0.0048  0.0648  0.0621  0.3132  0.14
Rubinstein 1952   18  0.6814  0.024  0.0910  0.4010  0.505  0.45
Rubinstein 1966   44  0.6289  0.0047  0.0456  0.0430  0.3043  0.11
Schilhawsky 1960   56  0.5737  0.0057  0.0553  0.0548  0.0856  0.06
Shebanova 2002   14  0.6938  0.0013  0.0913  0.3464  0.0440  0.12
Smith 1975   57  0.5790  0.0061  0.0552  0.0557  0.0463  0.04
Sokolov 2002   71  0.5274  0.0066  0.0473  0.0462  0.0382  0.03
Sztompka 1959   11  0.727  0.0511  0.138  0.4241  0.1523  0.25
Tomsic 1995   73  0.5045  0.0063  0.0467  0.0428  0.3639  0.12
Uninsky 1932   31  0.6411  0.0318  0.0740  0.1251  0.0746  0.09
Uninsky 1971   68  0.5333  0.0059  0.0647  0.0664  0.0559  0.05
Wasowski 1980   37  0.633  0.0712  0.0934  0.1636  0.1431  0.15
Zak 1937   36  0.6386  0.0049  0.0649  0.0674  0.0364  0.04
Zak 1951   49  0.6178  0.0050  0.0550  0.0565  0.0466  0.04
Average   1  0.7819  0.015  0.122  0.5256  0.0434  0.14
Random 1   91  -0.2772  0.0090  0.0190  0.0148  0.0590  0.02
Random 2   89  0.0069  0.0089  0.0289  0.0219  0.2948  0.08
Random 3   90  -0.2375  0.0091  0.0191  0.0161  0.0491  0.02

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).