Luisada 1991

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   28  0.6729  0.0026  0.0928  0.3732  0.2929  0.33
Anderszewski 2003   5  0.754  0.053  0.1312  0.484  0.539  0.50
Ashkenazy 1981   7  0.7314  0.015  0.126  0.5110  0.4812  0.49
Bacha 2000   35  0.643  0.0812  0.1124  0.413  0.617  0.50
Badura 1965   68  0.5071  0.0074  0.0385  0.0363  0.0488  0.03
Barbosa 1983   60  0.5641  0.0058  0.0456  0.0438  0.1856  0.08
Biret 1990   14  0.7037  0.0027  0.1022  0.429  0.4621  0.44
Blet 2003   22  0.6812  0.0137  0.0933  0.2615  0.3731  0.31
Block 1995   46  0.5930  0.0044  0.0443  0.0814  0.3640  0.17
Blumental 1952   50  0.5816  0.0150  0.0648  0.0623  0.2149  0.11
Boshniakovich 1969   36  0.6436  0.0046  0.0646  0.0640  0.1752  0.10
Brailowsky 1960   9  0.725  0.0411  0.1023  0.414  0.5911  0.49
Bunin 1987   75  0.4780  0.0085  0.0286  0.0272  0.0489  0.03
Bunin 1987b   76  0.4775  0.0084  0.0384  0.0372  0.0482  0.03
Chiu 1999   19  0.6967  0.0025  0.1325  0.416  0.5713  0.48
Cohen 1997   86  0.4065  0.0083  0.0382  0.0343  0.0871  0.05
Cortot 1951   72  0.5054  0.0081  0.0288  0.0268  0.0490  0.03
Csalog 1996   88  0.3364  0.0073  0.0381  0.0332  0.2157  0.08
Czerny 1949   58  0.5681  0.0056  0.0469  0.0453  0.0670  0.05
Czerny 1990   16  0.6972  0.0030  0.0826  0.3828  0.2532  0.31
Duchoud 2007   57  0.5653  0.0055  0.0470  0.0447  0.0578  0.04
Ezaki 2006   3  0.7735  0.0010  0.1213  0.4820  0.3724  0.42
Falvay 1989   48  0.5848  0.0059  0.0465  0.0438  0.2650  0.10
Farrell 1958   32  0.6661  0.0045  0.0445  0.0828  0.2443  0.14
Ferenczy 1958   54  0.5723  0.0051  0.0551  0.0575  0.0376  0.04
Fliere 1977   4  0.7610  0.017  0.132  0.6311  0.482  0.55
Fou 1978   15  0.6938  0.0022  0.0820  0.4413  0.4222  0.43
Francois 1956   65  0.5270  0.0057  0.0553  0.0538  0.1855  0.09
Friedman 1923   84  0.4477  0.0077  0.0383  0.0343  0.1467  0.06
Friedman 1923b   83  0.4469  0.0078  0.0463  0.0445  0.1260  0.07
Friedman 1930   73  0.4950  0.0066  0.0467  0.0453  0.0575  0.04
Garcia 2007   43  0.6185  0.0048  0.0552  0.0521  0.3644  0.13
Garcia 2007b   49  0.5839  0.0034  0.0835  0.207  0.3935  0.28
Gierzod 1998   25  0.687  0.0319  0.0917  0.4719  0.3923  0.43
Gornostaeva 1994   38  0.6356  0.0043  0.0444  0.0836  0.1945  0.12
Groot 1988   52  0.5773  0.0061  0.0550  0.0552  0.0480  0.04
Harasiewicz 1955   40  0.6282  0.0038  0.0738  0.1542  0.1046  0.12
Hatto 1993   20  0.6919  0.016  0.129  0.494  0.631  0.56
Hatto 1997   13  0.7031  0.009  0.1114  0.487  0.5310  0.50
Horowitz 1949   59  0.5660  0.0069  0.0458  0.0442  0.1062  0.06
Indjic 1988   17  0.6940  0.008  0.1010  0.496  0.613  0.55
Kapell 1951   47  0.5833  0.0041  0.0540  0.1363  0.0458  0.07
Kissin 1993   12  0.7120  0.0118  0.105  0.5213  0.488  0.50
Kushner 1989   8  0.7228  0.0024  0.1116  0.4817  0.4518  0.46
Luisada 1991   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Lushtak 2004   29  0.6642  0.0036  0.0734  0.2327  0.2436  0.23
Malcuzynski 1961   67  0.5187  0.0071  0.0375  0.0379  0.0383  0.03
Magaloff 1978   39  0.6213  0.0135  0.0737  0.1729  0.2937  0.22
Magin 1975   6  0.752  0.162  0.184  0.544  0.555  0.54
Michalowski 1933   79  0.4666  0.0067  0.0460  0.0449  0.0769  0.05
Milkina 1970   27  0.676  0.0416  0.0911  0.4914  0.4714  0.48
Mohovich 1999   18  0.699  0.0231  0.0730  0.3330  0.3230  0.32
Moravec 1969   74  0.4758  0.0064  0.0461  0.0439  0.2253  0.09
Morozova 2008   2  0.7825  0.004  0.168  0.506  0.4615  0.48
Neighaus 1950   33  0.6532  0.0032  0.0827  0.3836  0.2034  0.28
Niedzielski 1931   64  0.5468  0.0039  0.0442  0.1126  0.2838  0.18
Ohlsson 1999   21  0.6815  0.0123  0.0918  0.4613  0.4419  0.45
Osinska 1989   31  0.6624  0.0029  0.0729  0.3527  0.3228  0.33
Pachmann 1927   80  0.4649  0.0086  0.0380  0.0332  0.1759  0.07
Paderewski 1930   66  0.5188  0.0076  0.0376  0.0364  0.0385  0.03
Perlemuter 1992   37  0.6459  0.0042  0.0441  0.1130  0.1941  0.14
Pierdomenico 2008   56  0.5679  0.0052  0.0471  0.0434  0.2651  0.10
Poblocka 1999   41  0.6144  0.0040  0.0439  0.1339  0.1542  0.14
Rabcewiczowa 1932   51  0.5755  0.0053  0.0554  0.0539  0.1554  0.09
Rachmaninoff 1923   42  0.6151  0.0047  0.0549  0.0547  0.0568  0.05
Rangell 2001   78  0.4652  0.0068  0.0466  0.0442  0.1361  0.07
Richter 1976   71  0.5084  0.0082  0.0379  0.0366  0.0484  0.03
Rosen 1989   10  0.7247  0.0013  0.143  0.569  0.544  0.55
Rosenthal 1930   85  0.4174  0.0088  0.0472  0.0482  0.0287  0.03
Rosenthal 1931   81  0.4583  0.0080  0.0377  0.0341  0.1264  0.06
Rosenthal 1931b   82  0.4489  0.0079  0.0287  0.0236  0.1081  0.04
Rosenthal 1931c   87  0.4091  0.0087  0.0473  0.0444  0.0866  0.06
Rosenthal 1931d   77  0.4676  0.0072  0.0374  0.0341  0.1365  0.06
Rossi 2007   69  0.5063  0.0054  0.0459  0.0424  0.2847  0.11
Rubinstein 1939   44  0.6017  0.0149  0.0647  0.065  0.4739  0.17
Rubinstein 1952   63  0.548  0.0228  0.0836  0.1920  0.4533  0.29
Rubinstein 1966   24  0.6834  0.0033  0.1031  0.3212  0.5625  0.42
Schilhawsky 1960   61  0.5662  0.0062  0.0457  0.0473  0.0474  0.04
Shebanova 2002   26  0.6721  0.0020  0.1119  0.4516  0.4620  0.45
Smith 1975   11  0.7126  0.0015  0.1121  0.4316  0.3926  0.41
Sokolov 2002   55  0.5718  0.0163  0.0462  0.0455  0.0472  0.04
Sztompka 1959   45  0.6046  0.0065  0.0555  0.0550  0.0763  0.06
Tomsic 1995   53  0.5778  0.0060  0.0468  0.0431  0.2848  0.11
Uninsky 1932   62  0.5557  0.0070  0.0464  0.0457  0.0577  0.04
Uninsky 1971   70  0.5022  0.0075  0.0378  0.0370  0.0573  0.04
Wasowski 1980   34  0.6511  0.0114  0.1032  0.329  0.3927  0.35
Zak 1937   23  0.6843  0.0021  0.1315  0.4812  0.4616  0.47
Zak 1951   30  0.6627  0.0017  0.107  0.5114  0.4317  0.47
Average   1  0.811  0.371  0.371  0.7317  0.386  0.53
Random 1   91  -0.1986  0.0091  0.0191  0.0185  0.0291  0.01
Random 2   90  -0.1290  0.0090  0.0289  0.0263  0.0486  0.03
Random 3   89  -0.0145  0.0089  0.0290  0.0242  0.1079  0.04

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).