Garcia 2007

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   63  0.2068  0.0039  0.0642  0.2042  0.2038  0.20
Anderszewski 2003   53  0.2578  0.0041  0.0941  0.2017  0.5229  0.32
Ashkenazy 1981   25  0.3655  0.0029  0.0721  0.4467  0.0641  0.16
Bacha 2000   54  0.2441  0.0058  0.0648  0.0647  0.0752  0.06
Badura 1965   72  0.1652  0.0071  0.0473  0.0478  0.0385  0.03
Barbosa 1983   15  0.415  0.054  0.1311  0.6110  0.639  0.62
Biret 1990   76  0.1346  0.0078  0.0382  0.0359  0.0578  0.04
Blet 2003   57  0.2269  0.0060  0.0562  0.0552  0.0757  0.06
Block 1995   3  0.477  0.037  0.126  0.6712  0.617  0.64
Blumental 1952   49  0.2612  0.0146  0.0558  0.0557  0.0567  0.05
Boshniakovich 1969   2  0.521  0.341  0.332  0.784  0.761  0.77
Brailowsky 1960   45  0.2831  0.0054  0.0653  0.0635  0.3443  0.14
Bunin 1987   48  0.2773  0.0047  0.0471  0.0451  0.0770  0.05
Bunin 1987b   46  0.2888  0.0048  0.0566  0.0550  0.0755  0.06
Chiu 1999   35  0.3324  0.0033  0.0734  0.3746  0.1039  0.19
Cohen 1997   61  0.2036  0.0055  0.0647  0.0658  0.0569  0.05
Cortot 1951   59  0.2083  0.0077  0.0474  0.0459  0.0579  0.04
Csalog 1996   62  0.2053  0.0063  0.0569  0.0551  0.0664  0.05
Czerny 1949   90  -0.0589  0.0090  0.0289  0.0278  0.0389  0.02
Czerny 1990   37  0.3279  0.0032  0.0636  0.2934  0.3928  0.34
Duchoud 2007   44  0.2854  0.0056  0.0646  0.0664  0.0566  0.05
Ezaki 2006   80  0.0970  0.0073  0.0568  0.0571  0.0371  0.04
Falvay 1989   60  0.2040  0.0064  0.0470  0.0474  0.0381  0.03
Farrell 1958   79  0.1148  0.0083  0.0379  0.0371  0.0383  0.03
Ferenczy 1958   82  0.0864  0.0085  0.0381  0.0350  0.0765  0.05
Fliere 1977   9  0.4327  0.006  0.134  0.6828  0.588  0.63
Fou 1978   41  0.2874  0.0044  0.0743  0.1747  0.0745  0.11
Francois 1956   81  0.0984  0.0084  0.0380  0.0371  0.0387  0.03
Friedman 1923   16  0.4137  0.0017  0.1316  0.5326  0.5315  0.53
Friedman 1923b   12  0.4247  0.0015  0.1215  0.5423  0.5713  0.55
Friedman 1930   24  0.3742  0.0037  0.1235  0.3636  0.4024  0.38
Garcia 2007   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Garcia 2007b   18  0.404  0.063  0.225  0.676  0.712  0.69
Gierzod 1998   69  0.1738  0.0038  0.0640  0.2333  0.2933  0.26
Gornostaeva 1994   74  0.1471  0.0076  0.0378  0.0356  0.0577  0.04
Groot 1988   33  0.3426  0.0030  0.0731  0.3754  0.0742  0.16
Harasiewicz 1955   17  0.403  0.079  0.1610  0.6412  0.5310  0.58
Hatto 1993   30  0.3430  0.0028  0.0726  0.4057  0.0840  0.18
Hatto 1997   65  0.2021  0.0052  0.0652  0.0655  0.0658  0.06
Horowitz 1949   14  0.4223  0.0018  0.1217  0.5118  0.6111  0.56
Indjic 1988   34  0.3356  0.0023  0.0930  0.3837  0.2630  0.31
Kapell 1951   19  0.4013  0.0120  0.0932  0.3728  0.3226  0.34
Kissin 1993   50  0.2685  0.0051  0.0559  0.0552  0.0756  0.06
Kushner 1989   38  0.3129  0.0027  0.0925  0.4230  0.3922  0.40
Luisada 1991   23  0.3761  0.0031  0.0633  0.3746  0.1434  0.23
Lushtak 2004   47  0.2762  0.0050  0.0651  0.0626  0.2544  0.12
Malcuzynski 1961   42  0.2843  0.0040  0.0737  0.2540  0.1737  0.21
Magaloff 1978   32  0.348  0.0225  0.0924  0.4325  0.4420  0.43
Magin 1975   77  0.1280  0.0070  0.0476  0.0472  0.0474  0.04
Michalowski 1933   31  0.3475  0.0043  0.0744  0.1649  0.0846  0.11
Milkina 1970   83  0.0716  0.0166  0.0655  0.0662  0.0461  0.05
Mohovich 1999   8  0.4434  0.005  0.147  0.665  0.694  0.67
Moravec 1969   51  0.2663  0.0061  0.0654  0.0675  0.0460  0.05
Morozova 2008   52  0.2517  0.0142  0.0839  0.2455  0.0547  0.11
Neighaus 1950   22  0.3744  0.0034  0.0623  0.4346  0.1136  0.22
Niedzielski 1931   28  0.3565  0.0021  0.0922  0.4426  0.3921  0.41
Ohlsson 1999   64  0.2020  0.0059  0.0649  0.0660  0.0563  0.05
Osinska 1989   40  0.2976  0.0057  0.0650  0.0639  0.1748  0.10
Pachmann 1927   26  0.3672  0.0036  0.0929  0.3925  0.5119  0.45
Paderewski 1930   27  0.3628  0.0022  0.1018  0.4825  0.5018  0.49
Perlemuter 1992   43  0.2839  0.0045  0.0845  0.1640  0.3135  0.22
Pierdomenico 2008   21  0.3932  0.0035  0.0638  0.2425  0.3731  0.30
Poblocka 1999   29  0.3510  0.0116  0.1228  0.4028  0.3525  0.37
Rabcewiczowa 1932   66  0.1990  0.0072  0.0475  0.0446  0.1054  0.06
Rachmaninoff 1923   39  0.3066  0.0053  0.0557  0.0544  0.1351  0.08
Rangell 2001   5  0.4614  0.0114  0.129  0.654  0.665  0.65
Richter 1976   7  0.4518  0.018  0.173  0.6927  0.663  0.67
Rosen 1989   20  0.4015  0.0126  0.0920  0.4534  0.3623  0.40
Rosenthal 1930   68  0.1757  0.0082  0.0377  0.0362  0.0576  0.04
Rosenthal 1931   84  0.0691  0.0080  0.0383  0.0360  0.0484  0.03
Rosenthal 1931b   71  0.1758  0.0074  0.0564  0.0548  0.0859  0.06
Rosenthal 1931c   58  0.2119  0.0067  0.0565  0.0543  0.1550  0.09
Rosenthal 1931d   75  0.1333  0.0081  0.0385  0.0356  0.0486  0.03
Rossi 2007   87  0.0081  0.0086  0.0386  0.0354  0.0573  0.04
Rubinstein 1939   85  0.0667  0.0079  0.0384  0.0377  0.0382  0.03
Rubinstein 1952   70  0.1782  0.0069  0.0472  0.0456  0.0580  0.04
Rubinstein 1966   11  0.439  0.0110  0.1314  0.5713  0.4816  0.52
Schilhawsky 1960   67  0.1877  0.0062  0.0561  0.0542  0.1749  0.09
Shebanova 2002   10  0.4322  0.0011  0.138  0.6533  0.4712  0.55
Smith 1975   86  0.0349  0.0087  0.0287  0.0278  0.0388  0.02
Sokolov 2002   78  0.1225  0.0065  0.0556  0.0554  0.0472  0.04
Sztompka 1959   36  0.3250  0.0024  0.0727  0.4038  0.2927  0.34
Tomsic 1995   55  0.2459  0.0049  0.0563  0.0553  0.0562  0.05
Uninsky 1932   6  0.456  0.0313  0.1212  0.6124  0.4417  0.52
Uninsky 1971   73  0.1451  0.0075  0.0560  0.0579  0.0375  0.04
Wasowski 1980   56  0.2345  0.0068  0.0567  0.0551  0.0753  0.06
Zak 1937   4  0.4711  0.0112  0.1513  0.597  0.696  0.64
Zak 1951   13  0.4235  0.0019  0.0919  0.4713  0.6114  0.54
Average   1  0.522  0.262  0.411  0.7945  0.1032  0.28
Random 1   89  -0.0486  0.0088  0.0288  0.0240  0.1468  0.05
Random 2   88  -0.0260  0.0089  0.0190  0.0163  0.0490  0.02
Random 3   91  -0.1587  0.0091  0.0191  0.0185  0.0291  0.01

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).