Pierdomenico 2008

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   43  0.5570  0.0056  0.0461  0.0463  0.0464  0.04
Anderszewski 2003   58  0.4734  0.0069  0.0380  0.0364  0.0371  0.03
Ashkenazy 1981   40  0.5626  0.0026  0.0821  0.2958  0.0436  0.11
Bacha 2000   67  0.4446  0.0058  0.0462  0.0430  0.2241  0.09
Badura 1965   72  0.4150  0.0080  0.0285  0.0275  0.0388  0.02
Barbosa 1983   71  0.4173  0.0068  0.0365  0.0374  0.0370  0.03
Biret 1990   18  0.6320  0.0119  0.0816  0.3241  0.1328  0.20
Blet 2003   59  0.4790  0.0077  0.0366  0.0369  0.0472  0.03
Block 1995   37  0.5719  0.0146  0.0451  0.0420  0.2935  0.11
Blumental 1952   81  0.2877  0.0085  0.0459  0.0477  0.0378  0.03
Boshniakovich 1969   28  0.5947  0.0020  0.0633  0.1834  0.1829  0.18
Brailowsky 1960   12  0.6688  0.0014  0.1013  0.3414  0.396  0.36
Bunin 1987   61  0.4748  0.0075  0.0367  0.0367  0.0479  0.03
Bunin 1987b   60  0.4763  0.0074  0.0377  0.0365  0.0468  0.03
Chiu 1999   32  0.5917  0.0128  0.0623  0.2823  0.3410  0.31
Cohen 1997   77  0.3485  0.0064  0.0364  0.0320  0.3239  0.10
Cortot 1951   65  0.4531  0.0079  0.0286  0.0267  0.0482  0.03
Csalog 1996   76  0.3586  0.0063  0.0371  0.0342  0.1847  0.07
Czerny 1949   34  0.5851  0.0057  0.0453  0.0471  0.0376  0.03
Czerny 1990   10  0.6852  0.0042  0.0439  0.1076  0.0356  0.05
Duchoud 2007   48  0.5329  0.0049  0.0452  0.0475  0.0377  0.03
Ezaki 2006   8  0.6957  0.0024  0.1125  0.2854  0.0432  0.11
Falvay 1989   6  0.701  0.241  0.231  0.5512  0.393  0.46
Farrell 1958   45  0.5424  0.0052  0.0545  0.0548  0.0555  0.05
Ferenczy 1958   73  0.4087  0.0081  0.0374  0.0367  0.0375  0.03
Fliere 1977   1  0.747  0.044  0.134  0.4832  0.1815  0.29
Fou 1978   36  0.5715  0.029  0.0810  0.3927  0.337  0.36
Francois 1956   33  0.5940  0.0017  0.0828  0.2246  0.0638  0.11
Friedman 1923   89  -0.0456  0.0088  0.0287  0.0273  0.0583  0.03
Friedman 1923b   87  -0.0325  0.0087  0.0288  0.0273  0.0480  0.03
Friedman 1930   80  0.3230  0.0072  0.0284  0.0263  0.0573  0.03
Garcia 2007   75  0.3658  0.0082  0.0376  0.0350  0.0565  0.04
Garcia 2007b   79  0.3335  0.0051  0.0460  0.0415  0.2540  0.10
Gierzod 1998   26  0.6049  0.0039  0.0538  0.1361  0.0449  0.07
Gornostaeva 1994   5  0.7121  0.0121  0.0718  0.3119  0.3111  0.31
Groot 1988   23  0.6271  0.0030  0.0827  0.2347  0.0537  0.11
Harasiewicz 1955   20  0.6314  0.0212  0.0912  0.3627  0.2712  0.31
Hatto 1993   84  0.2566  0.0067  0.0457  0.0461  0.0381  0.03
Hatto 1997   82  0.2828  0.0062  0.0369  0.0359  0.0374  0.03
Horowitz 1949   41  0.563  0.075  0.1317  0.3116  0.349  0.32
Indjic 1988   85  0.2482  0.0066  0.0283  0.0266  0.0386  0.02
Kapell 1951   51  0.5278  0.0061  0.0368  0.0369  0.0367  0.03
Kissin 1993   4  0.715  0.072  0.162  0.5112  0.461  0.48
Kushner 1989   3  0.724  0.076  0.117  0.4226  0.298  0.35
Luisada 1991   16  0.6454  0.0027  0.0620  0.2929  0.2420  0.26
Lushtak 2004   54  0.5174  0.0041  0.0442  0.1058  0.0452  0.06
Malcuzynski 1961   9  0.6822  0.0110  0.088  0.4029  0.2116  0.29
Magaloff 1978   2  0.722  0.093  0.213  0.5115  0.412  0.46
Magin 1975   30  0.5939  0.0013  0.0722  0.2914  0.2817  0.28
Michalowski 1933   78  0.3442  0.0078  0.0373  0.0376  0.0369  0.03
Milkina 1970   21  0.6310  0.037  0.105  0.4815  0.404  0.44
Mohovich 1999   13  0.6668  0.0025  0.0719  0.3034  0.1327  0.20
Moravec 1969   50  0.529  0.0332  0.0530  0.2029  0.2126  0.20
Morozova 2008   35  0.5875  0.0044  0.0544  0.0962  0.0451  0.06
Neighaus 1950   19  0.6312  0.0216  0.0815  0.3336  0.1824  0.24
Niedzielski 1931   69  0.4272  0.0035  0.0543  0.1036  0.1631  0.13
Ohlsson 1999   31  0.5936  0.0033  0.0731  0.2044  0.1130  0.15
Osinska 1989   11  0.6767  0.0043  0.0540  0.1047  0.0545  0.07
Pachmann 1927   74  0.3716  0.0259  0.0458  0.0467  0.0461  0.04
Paderewski 1930   52  0.5260  0.0070  0.0379  0.0378  0.0284  0.02
Perlemuter 1992   39  0.5664  0.0054  0.0448  0.0456  0.0459  0.04
Pierdomenico 2008   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Poblocka 1999   53  0.5283  0.0065  0.0372  0.0358  0.0466  0.03
Rabcewiczowa 1932   25  0.6011  0.0247  0.0447  0.0457  0.0460  0.04
Rachmaninoff 1923   63  0.4644  0.0034  0.0437  0.1448  0.0446  0.07
Rangell 2001   14  0.666  0.0511  0.1111  0.3822  0.2314  0.30
Richter 1976   42  0.5579  0.0040  0.0541  0.1041  0.0843  0.09
Rosen 1989   15  0.6423  0.0123  0.0824  0.2826  0.3313  0.30
Rosenthal 1930   46  0.5480  0.0050  0.0454  0.0441  0.1450  0.07
Rosenthal 1931   49  0.5237  0.0036  0.0434  0.1717  0.3822  0.25
Rosenthal 1931b   56  0.4984  0.0037  0.0436  0.1518  0.3725  0.24
Rosenthal 1931c   55  0.5141  0.0053  0.0456  0.0446  0.0657  0.05
Rosenthal 1931d   44  0.5559  0.0031  0.0629  0.2120  0.3321  0.26
Rossi 2007   47  0.5355  0.0048  0.0449  0.0422  0.2142  0.09
Rubinstein 1939   83  0.2643  0.0071  0.0282  0.0229  0.3044  0.08
Rubinstein 1952   38  0.5665  0.0038  0.0535  0.1523  0.4223  0.25
Rubinstein 1966   57  0.4861  0.0060  0.0546  0.0544  0.1148  0.07
Schilhawsky 1960   62  0.4676  0.0076  0.0370  0.0384  0.0287  0.02
Shebanova 2002   17  0.648  0.0318  0.076  0.4317  0.445  0.43
Smith 1975   7  0.7018  0.0122  0.0826  0.2650  0.0533  0.11
Sokolov 2002   24  0.6038  0.0045  0.0450  0.0446  0.0754  0.05
Sztompka 1959   64  0.4627  0.0073  0.0378  0.0357  0.0562  0.04
Tomsic 1995   22  0.6262  0.0029  0.0532  0.1844  0.0734  0.11
Uninsky 1932   68  0.4313  0.0284  0.0463  0.0472  0.0463  0.04
Uninsky 1971   70  0.4281  0.0083  0.0381  0.0385  0.0285  0.02
Wasowski 1980   66  0.4445  0.0055  0.0455  0.0467  0.0458  0.04
Zak 1937   29  0.5933  0.0015  0.0914  0.3433  0.2119  0.27
Zak 1951   27  0.6069  0.008  0.089  0.3935  0.2018  0.28
Random 1   88  -0.0332  0.0089  0.0189  0.0155  0.0489  0.02
Random 2   90  -0.1389  0.0090  0.0190  0.0185  0.0290  0.01
Random 3   86  0.0053  0.0086  0.0375  0.0341  0.1153  0.06

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).