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  0.7016  0.0119  0.0618  0.3053  0.0541  0.12
Anderszewski 2003   58  0.5635  0.0072  0.0468  0.0458  0.0467  0.04
Ashkenazy 1981   57  0.5725  0.0053  0.0465  0.0463  0.0472  0.04
Bacha 2000   44  0.6286  0.0041  0.0540  0.1134  0.1336  0.12
Badura 1965   76  0.4883  0.0078  0.0382  0.0375  0.0486  0.03
Barbosa 1983   79  0.4453  0.0042  0.0442  0.0927  0.2133  0.14
Biret 1990   4  0.7530  0.008  0.1210  0.3913  0.4211  0.40
Blet 2003   23  0.6634  0.0035  0.0627  0.2323  0.2921  0.26
Block 1995   82  0.4245  0.0081  0.0462  0.0465  0.0471  0.04
Blumental 1952   2  0.772  0.172  0.255  0.484  0.416  0.44
Boshniakovich 1969   74  0.5064  0.0080  0.0379  0.0377  0.0387  0.03
Brailowsky 1960   37  0.6368  0.0055  0.0458  0.0437  0.1746  0.08
Bunin 1987   85  0.3447  0.0086  0.0475  0.0464  0.0573  0.04
Bunin 1987b   86  0.3340  0.0085  0.0384  0.0362  0.0564  0.04
Chiu 1999   46  0.6169  0.0037  0.0534  0.1420  0.2726  0.19
Cohen 1997   71  0.5187  0.0052  0.0554  0.0511  0.3934  0.14
Cortot 1951   59  0.5584  0.0073  0.0381  0.0345  0.0678  0.04
Csalog 1996   34  0.6323  0.0033  0.0530  0.216  0.4617  0.31
Czerny 1949   60  0.5442  0.0064  0.0473  0.0459  0.0570  0.04
Czerny 1990   3  0.751  0.181  0.184  0.489  0.454  0.46
Duchoud 2007   84  0.3951  0.0082  0.0471  0.0475  0.0385  0.03
Ezaki 2006   47  0.6148  0.0050  0.0745  0.0762  0.0456  0.05
Falvay 1989   19  0.6841  0.0031  0.0624  0.2618  0.4715  0.35
Farrell 1958   38  0.6346  0.0020  0.0711  0.3429  0.3016  0.32
Ferenczy 1958   52  0.5855  0.0057  0.0463  0.0464  0.0469  0.04
Fliere 1977   29  0.6575  0.0044  0.0443  0.0972  0.0453  0.06
Fou 1978   5  0.7417  0.016  0.113  0.499  0.462  0.47
Francois 1956   9  0.7226  0.009  0.138  0.416  0.533  0.47
Friedman 1923   75  0.4962  0.0077  0.0387  0.0359  0.0580  0.04
Friedman 1923b   77  0.4882  0.0076  0.0383  0.0362  0.0574  0.04
Friedman 1930   66  0.5356  0.0075  0.0469  0.0450  0.0760  0.05
Garcia 2007   21  0.6750  0.0038  0.0637  0.1334  0.2030  0.16
Garcia 2007b   27  0.6560  0.0039  0.0832  0.1764  0.0448  0.08
Gierzod 1998   40  0.6243  0.0040  0.0441  0.1061  0.0552  0.07
Gornostaeva 1994   51  0.5831  0.0059  0.0457  0.0450  0.0575  0.04
Groot 1988   62  0.5461  0.0061  0.0464  0.0465  0.0576  0.04
Harasiewicz 1955   61  0.5452  0.0066  0.0477  0.0463  0.0579  0.04
Hatto 1993   73  0.5078  0.0069  0.0553  0.0579  0.0377  0.04
Hatto 1997   69  0.5279  0.0068  0.0459  0.0479  0.0468  0.04
Horowitz 1949   78  0.458  0.0484  0.0476  0.0466  0.0566  0.04
Indjic 1988   68  0.5270  0.0067  0.0470  0.0451  0.0659  0.05
Kapell 1951   8  0.7312  0.027  0.102  0.4925  0.1719  0.29
Kissin 1993   16  0.6918  0.0116  0.0725  0.2450  0.0443  0.10
Kushner 1989   1  0.776  0.063  0.181  0.595  0.551  0.57
Luisada 1991   32  0.6480  0.0029  0.0623  0.2651  0.0637  0.12
Lushtak 2004   24  0.6657  0.0014  0.0913  0.3222  0.2520  0.28
Malcuzynski 1961   83  0.3938  0.0083  0.0386  0.0382  0.0382  0.03
Magaloff 1978   15  0.6972  0.0032  0.0628  0.2313  0.3918  0.30
Magin 1975   53  0.5820  0.0125  0.0638  0.1240  0.1142  0.11
Michalowski 1933   45  0.624  0.0615  0.0836  0.1433  0.2029  0.17
Milkina 1970   11  0.7263  0.0030  0.0526  0.2343  0.1428  0.18
Mohovich 1999   18  0.6881  0.0036  0.0631  0.2067  0.0544  0.10
Moravec 1969   14  0.6924  0.0026  0.0715  0.3111  0.5013  0.39
Morozova 2008   31  0.6429  0.0034  0.0529  0.2137  0.1727  0.19
Neighaus 1950   64  0.5376  0.0074  0.0461  0.0446  0.0761  0.05
Niedzielski 1931   50  0.6065  0.0045  0.0456  0.0440  0.1451  0.07
Ohlsson 1999   65  0.5322  0.0063  0.0380  0.0386  0.0384  0.03
Osinska 1989   25  0.6658  0.0043  0.0444  0.0876  0.0454  0.06
Pachmann 1927   41  0.6228  0.0054  0.0460  0.049  0.4335  0.13
Paderewski 1930   7  0.7321  0.0113  0.1219  0.305  0.5014  0.39
Perlemuter 1992   6  0.7313  0.025  0.106  0.4314  0.389  0.40
Pierdomenico 2008   80  0.4354  0.0071  0.0467  0.0441  0.1450  0.07
Poblocka 1999   54  0.5739  0.0051  0.0550  0.0556  0.0557  0.05
Rabcewiczowa 1932   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rachmaninoff 1923   22  0.6710  0.0321  0.0620  0.2928  0.2122  0.25
Rangell 2001   81  0.4259  0.0079  0.0385  0.0362  0.0388  0.03
Richter 1976   87  0.3019  0.0187  0.0474  0.0476  0.0383  0.03
Rosen 1989   20  0.6788  0.0028  0.0517  0.3137  0.1425  0.21
Rosenthal 1930   42  0.6215  0.0227  0.0635  0.1414  0.3324  0.21
Rosenthal 1931   28  0.6527  0.0024  0.0921  0.287  0.5610  0.40
Rosenthal 1931b   26  0.6533  0.0022  0.0814  0.327  0.587  0.43
Rosenthal 1931c   33  0.649  0.0423  0.0816  0.315  0.548  0.41
Rosenthal 1931d   39  0.635  0.0618  0.0622  0.286  0.5712  0.40
Rossi 2007   63  0.5449  0.0070  0.0378  0.0338  0.1549  0.07
Rubinstein 1939   49  0.6166  0.0047  0.0647  0.0620  0.3132  0.14
Rubinstein 1952   17  0.6814  0.024  0.129  0.4010  0.505  0.45
Rubinstein 1966   43  0.6289  0.0046  0.0555  0.0529  0.3039  0.12
Schilhawsky 1960   55  0.5736  0.0056  0.0552  0.0547  0.0855  0.06
Shebanova 2002   13  0.6937  0.0012  0.0912  0.3463  0.0440  0.12
Smith 1975   56  0.5790  0.0060  0.0551  0.0556  0.0462  0.04
Sokolov 2002   70  0.5273  0.0065  0.0472  0.0461  0.0381  0.03
Sztompka 1959   10  0.727  0.0510  0.137  0.4240  0.1523  0.25
Tomsic 1995   72  0.5044  0.0062  0.0466  0.0427  0.3638  0.12
Uninsky 1932   30  0.6411  0.0317  0.0739  0.1250  0.0745  0.09
Uninsky 1971   67  0.5332  0.0058  0.0646  0.0663  0.0558  0.05
Wasowski 1980   36  0.633  0.0711  0.0933  0.1635  0.1431  0.15
Zak 1937   35  0.6385  0.0048  0.0648  0.0673  0.0363  0.04
Zak 1951   48  0.6177  0.0049  0.0549  0.0564  0.0465  0.04
Random 1   90  -0.2771  0.0089  0.0189  0.0147  0.0589  0.02
Random 2   88  0.0067  0.0088  0.0288  0.0219  0.2947  0.08
Random 3   89  -0.2374  0.0090  0.0190  0.0161  0.0490  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).