Luisada 1991

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   46  0.3718  0.0036  0.0737  0.2830  0.3636  0.32
Anderszewski 2003   79  0.1486  0.0075  0.0562  0.0556  0.0570  0.05
Ashkenazy 1981   3  0.6014  0.004  0.223  0.828  0.821  0.82
Bacha 2000   77  0.2060  0.0068  0.0470  0.0466  0.0474  0.04
Badura 1965   66  0.2647  0.0070  0.0479  0.0450  0.0579  0.04
Barbosa 1983   13  0.4843  0.0015  0.1510  0.702  0.747  0.72
Biret 1990   43  0.3856  0.0047  0.0751  0.0712  0.6545  0.21
Blet 2003   5  0.575  0.056  0.265  0.782  0.795  0.78
Block 1995   53  0.3470  0.0053  0.0850  0.0852  0.0656  0.07
Blumental 1952   59  0.3057  0.0064  0.0754  0.0755  0.0563  0.06
Boshniakovich 1969   34  0.4136  0.0028  0.0927  0.4726  0.4627  0.46
Brailowsky 1960   78  0.1517  0.0081  0.0476  0.0469  0.0475  0.04
Bunin 1987   20  0.4624  0.0020  0.1016  0.608  0.6515  0.62
Bunin 1987b   21  0.4667  0.0023  0.1318  0.598  0.6316  0.61
Chiu 1999   22  0.4611  0.0126  0.1022  0.5329  0.4325  0.48
Cohen 1997   74  0.2021  0.0080  0.0382  0.0380  0.0288  0.02
Cortot 1951   81  0.1162  0.0089  0.0288  0.0289  0.0289  0.02
Csalog 1996   40  0.3923  0.0042  0.0940  0.2718  0.5032  0.37
Czerny 1949   83  0.1053  0.0086  0.0286  0.0272  0.0482  0.03
Czerny 1990   18  0.4615  0.0016  0.1413  0.6414  0.7510  0.69
Duchoud 2007   35  0.4046  0.0044  0.1143  0.2332  0.3340  0.28
Ezaki 2006   72  0.2271  0.0055  0.0564  0.0553  0.0758  0.06
Falvay 1989   54  0.3437  0.0037  0.0635  0.2929  0.2839  0.28
Farrell 1958   63  0.2887  0.0067  0.0655  0.0657  0.0659  0.06
Ferenczy 1958   90  0.0078  0.0090  0.0190  0.0163  0.0587  0.02
Fliere 1977   7  0.5430  0.0013  0.1211  0.6827  0.5914  0.63
Fou 1978   51  0.3519  0.0041  0.0744  0.2240  0.2144  0.21
Francois 1956   70  0.2429  0.0072  0.0474  0.0451  0.0673  0.05
Friedman 1923   29  0.4322  0.0032  0.1041  0.2638  0.3737  0.31
Friedman 1923b   24  0.4468  0.0030  0.1032  0.3435  0.4531  0.39
Friedman 1930   39  0.3934  0.0048  0.1047  0.1042  0.2848  0.17
Garcia 2007   45  0.3740  0.0046  0.1446  0.1433  0.3743  0.23
Garcia 2007b   6  0.553  0.087  0.246  0.771  0.833  0.80
Gierzod 1998   84  0.0938  0.0076  0.0567  0.0574  0.0377  0.04
Gornostaeva 1994   75  0.2074  0.0074  0.0477  0.0474  0.0384  0.03
Groot 1988   2  0.617  0.045  0.262  0.832  0.802  0.81
Harasiewicz 1955   36  0.4055  0.0038  0.0742  0.2443  0.1446  0.18
Hatto 1993   8  0.546  0.053  0.227  0.767  0.746  0.75
Hatto 1997   14  0.4826  0.009  0.258  0.724  0.708  0.71
Horowitz 1949   19  0.469  0.0124  0.1329  0.4129  0.4529  0.43
Indjic 1988   4  0.581  0.341  0.344  0.806  0.784  0.79
Kapell 1951   31  0.4231  0.0027  0.1125  0.5118  0.4526  0.48
Kissin 1993   23  0.4516  0.0010  0.1220  0.5720  0.6118  0.59
Kushner 1989   44  0.3749  0.0045  0.1045  0.2036  0.2642  0.23
Luisada 1991   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Lushtak 2004   73  0.2179  0.0073  0.0481  0.0472  0.0480  0.04
Malcuzynski 1961   48  0.3663  0.0051  0.0659  0.0651  0.0760  0.06
Magaloff 1978   61  0.3080  0.0063  0.0656  0.0657  0.0565  0.05
Magin 1975   16  0.4728  0.0017  0.1415  0.6211  0.769  0.69
Michalowski 1933   12  0.5010  0.0111  0.1114  0.638  0.6017  0.61
Milkina 1970   71  0.2269  0.0062  0.0560  0.0538  0.2553  0.11
Mohovich 1999   69  0.2475  0.0066  0.0849  0.0857  0.0657  0.07
Moravec 1969   50  0.3558  0.0052  0.0753  0.0735  0.2150  0.12
Morozova 2008   25  0.4432  0.0012  0.1117  0.5912  0.5321  0.56
Neighaus 1950   38  0.4033  0.0043  0.0934  0.2949  0.0849  0.15
Niedzielski 1931   30  0.4235  0.0025  0.0926  0.5118  0.4924  0.50
Ohlsson 1999   56  0.3372  0.0056  0.0566  0.0566  0.0476  0.04
Osinska 1989   62  0.2976  0.0059  0.0563  0.0554  0.0664  0.05
Pachmann 1927   49  0.3681  0.0058  0.0658  0.0649  0.0761  0.06
Paderewski 1930   32  0.4150  0.0035  0.0830  0.3824  0.5428  0.45
Perlemuter 1992   37  0.4027  0.0049  0.0948  0.0938  0.3447  0.17
Pierdomenico 2008   52  0.3442  0.0057  0.0471  0.0453  0.0667  0.05
Poblocka 1999   15  0.4720  0.0021  0.0921  0.559  0.5820  0.56
Rabcewiczowa 1932   76  0.2088  0.0078  0.0472  0.0454  0.0669  0.05
Rachmaninoff 1923   27  0.4339  0.0031  0.0839  0.2726  0.4633  0.35
Rangell 2001   68  0.2544  0.0069  0.0569  0.0551  0.0672  0.05
Richter 1976   33  0.4112  0.0139  0.0636  0.2841  0.3935  0.33
Rosen 1989   65  0.2665  0.0065  0.0752  0.0775  0.0371  0.05
Rosenthal 1930   64  0.2751  0.0071  0.0473  0.0455  0.0578  0.04
Rosenthal 1931   87  0.0484  0.0087  0.0284  0.0279  0.0286  0.02
Rosenthal 1931b   85  0.0785  0.0084  0.0285  0.0271  0.0390  0.02
Rosenthal 1931c   82  0.1182  0.0082  0.0478  0.0488  0.0191  0.02
Rosenthal 1931d   80  0.1266  0.0079  0.0480  0.0459  0.0481  0.04
Rossi 2007   89  0.0189  0.0088  0.0289  0.0276  0.0385  0.02
Rubinstein 1939   60  0.3083  0.0061  0.0568  0.0556  0.0668  0.05
Rubinstein 1952   47  0.3761  0.0040  0.0638  0.2723  0.4334  0.34
Rubinstein 1966   42  0.3813  0.0033  0.0833  0.3233  0.2341  0.27
Schilhawsky 1960   58  0.3073  0.0054  0.0565  0.0534  0.2851  0.12
Shebanova 2002   9  0.534  0.078  0.309  0.7222  0.6311  0.67
Smith 1975   67  0.2545  0.0077  0.0475  0.0454  0.0666  0.05
Sokolov 2002   55  0.3352  0.0050  0.0657  0.0640  0.2052  0.11
Sztompka 1959   28  0.4364  0.0034  0.0731  0.3640  0.2438  0.29
Tomsic 1995   41  0.3925  0.0018  0.1524  0.518  0.5523  0.53
Uninsky 1932   10  0.508  0.0119  0.1123  0.5331  0.3530  0.43
Uninsky 1971   57  0.3154  0.0060  0.0561  0.0552  0.0762  0.06
Wasowski 1980   11  0.5041  0.0014  0.1412  0.6612  0.6612  0.66
Zak 1937   17  0.4759  0.0022  0.1019  0.586  0.7313  0.65
Zak 1951   26  0.4490  0.0029  0.0828  0.417  0.6822  0.53
Average   1  0.652  0.242  0.291  0.8724  0.3919  0.58
Random 1   86  0.0748  0.0085  0.0287  0.0222  0.3255  0.08
Random 2   88  0.0477  0.0083  0.0383  0.0324  0.3254  0.10
Random 3   91  -0.0291  0.0091  0.0191  0.0145  0.0783  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).